8 Commits
10 changed files with 593 additions and 896 deletions
+7
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@@ -1,3 +1,10 @@
# v1.0.9
- Added chunking/segmenting system that fixes memory outage issues when processing large audio files.
- Added new option: `Subtitle format`, allowing users to choose between `srt` , `ass (wide)`, `ass (narrow)`, and `ass (centered wide)` and `ass (centered narrow)`
- Improved chapter filename generation with smart word-boundary truncation at 80 characters, preventing mid-word cuts in filenames.
- `Composer` and `Genre` metadata fields for M4B files are now editable from the text editor.
- Improvements in documentation and code.
# v1.0.8
- Added support for AMD GPUs in Linux (Special thanks to @hg000125 for his contribution in #23)
- Added voice preview caching system that stores generated previews in the cache folder, mentioned by @jborza in #22
+53 -20
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@@ -17,9 +17,26 @@ https://github.com/user-attachments/assets/cb66512d-0a52-48c3-bda4-f1e6a03fb8d6
> This demo was generated in just 5 seconds, producing 1 minute of audio with perfectly synced subtitles. To create a similar video, see [the demo guide](https://github.com/denizsafak/abogen/tree/main/demo).
## `How to install?` <a href="https://pypi.org/project/abogen/" target="_blank"><img src="https://img.shields.io/pypi/pyversions/abogen" alt="Abogen Compatible PyPi Python Versions" align="right" style="margin-top:6px;"></a>
### Windows
Go to [espeak-ng latest release](https://github.com/espeak-ng/espeak-ng/releases/latest) download and run the *.msi file.
#### OPTION 1: Install using script
1. [Download](https://github.com/denizsafak/abogen/archive/refs/heads/main.zip) the repository
2. Extract the ZIP file
3. Run `WINDOWS_INSTALL.bat` by double-clicking it
This method handles everything automatically - installing all dependencies including CUDA in a self-contained environment without requiring a separate Python installation. (You still need to install [espeak-ng](https://github.com/espeak-ng/espeak-ng/releases/latest).)
> [!NOTE]
> You don't need to install Python separately. The script will install Python automatically.
#### OPTION 2: Install using pip
```bash
# Create a virtual environment (optional)
python -m venv venv
venv\Scripts\activate
# For NVIDIA GPUs:
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
@@ -29,47 +46,48 @@ pip install torch torchvision torchaudio --index-url https://download.pytorch.or
# Install abogen
pip install abogen
```
Alternatively, for an easier setup on Windows:
1. [Download](https://github.com/denizsafak/abogen/archive/refs/heads/main.zip) the repository
2. Extract the ZIP file
3. Run `WINDOWS_INSTALL.bat` by double-clicking it
This method handles everything automatically - installing all dependencies including CUDA in a self-contained environment without requiring a separate Python installation. (You still need to install [espeak-ng](https://github.com/espeak-ng/espeak-ng/releases/latest).)
### Mac
```bash
# Install espeak-ng
brew install espeak-ng
# Create a virtual environment (recommended)
python3 -m venv venv
source venv/bin/activate
# Install abogen
pip install abogen # (I have not tested it)
pip3 install abogen
```
### Linux
```bash
# Install espeak-ng
sudo apt install espeak-ng # Ubuntu/Debian
sudo pacman -S espeak-ng # Arch Linux
sudo dnf install espeak-ng # Fedora
# Ubuntu/Debian
sudo apt install espeak-ng
# Arch Linux
sudo pacman -S espeak-ng
# Fedora
sudo dnf install espeak-ng
# Create a virtual environment (recommended)
python3 -m venv venv
source venv/bin/activate
# Install abogen
pip install abogen
pip3 install abogen
# For NVIDIA GPUs:
# Already supported, no need to install CUDA separately.
# For AMD GPUs:
pip uninstall torch # After installing abogen, we need to uninstall the existing torch package
pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4
# After installing abogen, we need to uninstall the existing torch package
pip3 uninstall torch
pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4
```
> [!TIP]
> If you get `WARNING: The script abogen-cli is installed in '/home/username/.local/bin' which is not on PATH.` error, run the following command to add it to your PATH:
>```bash
>echo "export PATH=\"/home/$USER/.local/bin:\$PATH\"" >> ~/.bashrc && source ~/.bashrc
>```
> [!TIP]
> If you get "No matching distribution found" error, try installing it on supported Python (3.10 to 3.12). You can use [pyenv](https://github.com/pyenv/pyenv) to manage multiple Python versions easily in Linux. Watch this [video](https://www.youtube.com/watch?v=MVyb-nI4KyI) by NetworkChuck for a quick guide.
> Special thanks to [@hg000125](https://github.com/hg000125) for his contribution in [#23](https://github.com/denizsafak/abogen/issues/23). AMD GPU support is possible thanks to his work.
@@ -80,6 +98,7 @@ If you installed using pip, you can simply run the following command to start Ab
```bash
abogen
```
> [!TIP]
> If you installed using the Windows installer `(WINDOWS_INSTALL.bat)`, It should have created a shortcut in the same folder, or your desktop. You can run it from there. If you lost the shortcut, Abogen is located in `python_embedded/Scripts/abogen.exe`. You can run it from there directly.
## `How to use?`
@@ -111,7 +130,8 @@ Heres Abogen in action: in this demo, it processes 3,000 characters of tex
- **Options**:
- **Replace single newlines with spaces**: Replaces single newlines with spaces in the text. This is useful for texts that have imaginary line breaks.
- **Configure max words per subtitle**: Configures the maximum number of words per subtitle entry.
- **Separate chapters audio format**: Configures the audio format for separate chapters (e.g., `WAV`, `FLAC`, `MP3`, `OPUS`).
- **Subtitle format**: Configures the subtitle format as `srt`, `ass (wide)`, `ass (narrow)`, `ass (centered wide)`, or `ass (centered narrow)`.
- **Separate chapters audio format**: Configures the audio format for separate chapters as `wav`, `flac`, `mp3`, or `opus`.
- **Create desktop shortcut**: Creates a shortcut on your desktop for easy access.
- **Open config.json directory**: Opens the directory where the configuration file is stored.
- **Open temp directory**: Opens the temporary directory where converted text files are stored.
@@ -147,6 +167,17 @@ When you process the text file, Abogen will detect these markers automatically a
![Abogen Chapter Marker](https://raw.githubusercontent.com/denizsafak/abogen/refs/heads/main/demo/chapter_marker.png)
## `About Metadata Tags`
Similar to chapter markers, it is possible to add metadata tags to `M4B` files. This is useful for audiobook players that support metadata, allowing you to add information like title, author, year, etc. Abogen automatically adds these tags when you process ePUB or PDF files, but you can also add them manually to your text files. Add metadata tags **at the beginning of your text file** like this:
```
<<METADATA_TITLE:Title>>
<<METADATA_ARTIST:Author>>
<<METADATA_ALBUM:Album Title>>
<<METADATA_YEAR:Year>>
<<METADATA_ALBUM_ARTIST:Album Artist>>
<<METADATA_COMPOSER:Narrator>>
<<METADATA_GENRE:Audiobook>>
```
## `Supported Languages`
```
@@ -164,11 +195,13 @@ For a complete list of supported languages and voices, refer to Kokoro's [VOICES
## `MPV Config`
I highly recommend using [MPV](https://mpv.io/installation/) to play your audio files, as it supports displaying subtitles even without a video track. Here's my `mpv.conf`:
```
# --- MPV Settings ---
save-position-on-quit
keep-open=yes
--audio-device=openal
--sub-margin-x=235
--sub-pos=60
# --- Subtitle ---
sub-ass-override=no
sub-margin-y=50
sub-margin-x=50
# --- Audio Quality ---
audio-spdif=ac3,dts,eac3,truehd,dts-hd
audio-channels=auto
+1 -1
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@@ -1 +1 @@
1.0.8
1.0.9
+3 -1
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@@ -1649,7 +1649,9 @@ class HandlerDialog(QDialog):
f"<<METADATA_ARTIST:{authors_text}>>",
f"<<METADATA_ALBUM:{title} ({chapter_text})>>",
f"<<METADATA_YEAR:{year}>>",
f"<<METADATA_ALBUM_ARTIST:{album_artist}>>"
f"<<METADATA_ALBUM_ARTIST:{album_artist}>>",
f"<<METADATA_COMPOSER:Narrator>>",
f"<<METADATA_GENRE:Audiobook>>"
]
return "\n".join(metadata_tags)
+356 -153
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@@ -157,6 +157,157 @@ class ConversionThread(QThread):
self.use_gpu = use_gpu # Store the GPU setting
self.max_subtitle_words = 50 # Default value, will be overridden from GUI
def _stream_audio_in_chunks(self, segments, process_func, progress_prefix="Processing"):
"""
Process audio segments in memory-efficient chunks
Args:
segments: List of audio segments to process
process_func: Function that takes (segment_bytes, is_last) and processes a chunk
progress_prefix: Prefix for progress messages
Returns:
Total samples processed
"""
# Calculate total size for progress reporting
total_samples = sum(len(segment) for segment in segments)
samples_processed = 0
self.log_updated.emit(f"\n{progress_prefix} segments...")
# Stream each segment individually
for i, segment in enumerate(segments):
try:
# Handle both NumPy arrays and PyTorch tensors
if hasattr(segment, 'astype'):
segment_bytes = segment.astype("float32").tobytes()
else:
segment_bytes = segment.cpu().numpy().astype("float32").tobytes()
is_last = (i == len(segments) - 1)
# Update progress periodically - skip if there's only one segment
if (i % 20 == 0 or is_last) and len(segments) > 1:
progress_percent = int((samples_processed / total_samples) * 100)
self.log_updated.emit(f"{progress_prefix} segment {i+1}/{len(segments)} ({progress_percent}% complete)")
# Process this segment
process_func(segment_bytes, is_last)
# Update samples processed
samples_processed += len(segment)
# Clear segment bytes from memory
del segment_bytes
except Exception as e:
self.log_updated.emit(f"Error processing segment {i}: {str(e)}")
raise
return samples_processed
def _process_audio_segments(self, audio_segments, output_path, output_format, use_ffmpeg=False, ffmpeg_args=None):
"""
Process audio segments to a target format with memory-efficient handling
Args:
audio_segments: List of audio segments to process
output_path: Path for output file
output_format: Format of output (wav, mp3, flac, opus, m4b)
use_ffmpeg: Whether to use FFmpeg instead of soundfile
ffmpeg_args: Optional additional FFmpeg arguments when use_ffmpeg=True
Returns:
Tuple of (success, output_path)
"""
self.log_updated.emit(f"\nProcessing audio data to {output_format.upper()}...")
segments_count = len(audio_segments)
# Handle direct streaming for WAV (the only format supporting append mode)
if output_format == "wav" and not use_ffmpeg:
try:
# Write first segment
sf.write(output_path, audio_segments[0], 24000, format="wav")
# Append remaining segments
for i, segment in enumerate(audio_segments[1:], 1):
with sf.SoundFile(output_path, mode='r+') as f:
f.seek(0, sf.SEEK_END)
f.write(segment)
return True, output_path
except Exception as e:
self.log_updated.emit((f"Error writing WAV file: {str(e)}", "red"))
return False, None
# For formats requiring FFmpeg (opus, m4b) or when explicitly requested
if use_ffmpeg or output_format in ["opus", "m4b"]:
static_ffmpeg.add_paths()
# Basic FFmpeg command
cmd = [
"ffmpeg", "-y",
"-thread_queue_size", "32768",
"-f", "f32le",
"-ar", "24000",
"-ac", "1",
"-i", "pipe:0"
]
# Add custom FFmpeg arguments if provided
if ffmpeg_args:
cmd.extend(ffmpeg_args)
else:
# Default codec settings based on format
if output_format == "opus":
cmd.extend(["-c:a", "libopus", "-b:a", "24000"])
elif output_format == "mp3":
cmd.extend(["-c:a", "libmp3lame", "-q:a", "2"])
elif output_format == "flac":
cmd.extend(["-c:a", "flac", "-compression_level", "8"])
else:
cmd.extend(["-c:a", "aac", "-q:a", "2"])
# Add output path
cmd.append(output_path)
# Create process
proc = create_process(cmd, stdin=subprocess.PIPE, text=False)
# Process segments
try:
# Use the unified streaming function
def process_chunk(chunk_bytes, is_last):
proc.stdin.write(chunk_bytes)
self._stream_audio_in_chunks(audio_segments, process_chunk,
progress_prefix=f"Processing {output_format.upper()}")
# Close stdin and wait for process to complete
proc.stdin.close()
if proc.wait() != 0:
self.log_updated.emit((f"{output_format.upper()} conversion failed.", "red"))
return False, None
return True, output_path
except Exception as e:
self.log_updated.emit((f"Error during {output_format.upper()} conversion: {str(e)}", "red"))
proc.stdin.close()
try:
proc.terminate()
except:
pass
return False, None
# For formats supported by soundfile (mp3, flac)
else:
try:
with sf.SoundFile(output_path, 'w', samplerate=24000, channels=1, format=output_format) as f:
for i, segment in enumerate(audio_segments):
f.write(segment)
return True, output_path
except Exception as e:
self.log_updated.emit((f"Error processing {output_format.upper()} file: {str(e)}", "red"))
return False, None
def run(self):
print(
f"\nVoice: {self.voice}\nLanguage: {self.lang_code}\nSpeed: {self.speed}\nGPU: {self.use_gpu}\nFile: {self.file_name}\nSubtitle mode: {self.subtitle_mode}\nOutput format: {self.output_format}\nSave option: {self.save_option}\n"
@@ -182,6 +333,7 @@ class ConversionThread(QThread):
self.log_updated.emit(f"- Speed: {self.speed}")
self.log_updated.emit(f"- Subtitle mode: {self.subtitle_mode}")
self.log_updated.emit(f"- Output format: {self.output_format}")
self.log_updated.emit(f"- Subtitle format: {getattr(self, 'subtitle_format', 'srt')}")
self.log_updated.emit(f"- Save option: {self.save_option}")
if self.replace_single_newlines:
self.log_updated.emit(f"- Replace single newlines: Yes")
@@ -501,15 +653,19 @@ class ConversionThread(QThread):
and chapters_out_dir
and chapter_audio_segments
):
# Sanitize chapter name for use in filenames
sanitized_chapter_name = re.sub(r"[^\w\-\. ]", "_", chapter_name)
sanitized_chapter_name = re.sub(
r"_+", "_", sanitized_chapter_name
) # Replace multiple underscores with one
chapter_filename = f"{chapter_idx:02d}_{sanitized_chapter_name}"
# Concatenate chapter audio and save
chapter_audio = self.np.concatenate(chapter_audio_segments)
# strip any nonalphanumeric or space/dash
sanitized = re.sub(r"[^\w\s\-]", "", chapter_name)
# collapse spaces or dashes to single underscore
sanitized = re.sub(r"[\s\-]+", "_", sanitized).strip("_")
# enforce max length
MAX_LEN = 80
if len(sanitized) > MAX_LEN:
# Find last word boundary before limit
pos = sanitized[:MAX_LEN].rfind("_")
# Use word boundary if found, otherwise use hard limit
sanitized = sanitized[:pos if pos > 0 else MAX_LEN].rstrip("_")
chapter_filename = f"{chapter_idx:02d}_{sanitized}"
# Use separate_chapters_format
separate_format = getattr(self, 'separate_chapters_format', 'wav')
@@ -517,59 +673,44 @@ class ConversionThread(QThread):
chapter_out_path = os.path.join(
chapters_out_dir, f"{chapter_filename}.{separate_format}"
)
if separate_format == "opus":
static_ffmpeg.add_paths()
proc = create_process(
[
"ffmpeg",
"-y",
"-thread_queue_size", "32768", # Increased thread_queue_size for chapter opus
"-f",
"f32le",
"-ar",
"24000",
"-ac",
"1",
"-i",
"pipe:0",
"-c:a",
"libopus",
"-b:a",
"24000",
chapter_out_path,
],
stdin=subprocess.PIPE,
text=False # Ensure binary stdin for audio data
)
proc.stdin.write(chapter_audio.astype("float32").tobytes())
proc.stdin.close()
proc.wait()
else:
sf.write(
chapter_out_path,
chapter_audio,
24000,
format=separate_format,
# Process audio segments using the unified function
success, chapter_out_path = self._process_audio_segments(
chapter_audio_segments, chapter_out_path, separate_format, use_ffmpeg=(separate_format in ["opus", "m4b"])
)
if not success:
self.log_updated.emit((f"Failed to write {separate_format.upper()} file.", "red"))
continue
# Generate subtitle file for chapter if not Disabled
if self.subtitle_mode != "Disabled" and chapter_subtitle_entries:
subtitle_format = getattr(self, 'subtitle_format', 'srt')
file_extension = 'ass' if 'ass' in subtitle_format else 'srt'
chapter_subtitle_path = os.path.join(
chapters_out_dir, f"{chapter_filename}.{file_extension}"
)
# Generate .srt subtitle file for chapter if not Disabled
if self.subtitle_mode != "Disabled" and chapter_subtitle_entries:
chapter_srt_path = os.path.join(
chapters_out_dir, f"{chapter_filename}.srt"
)
with open(
chapter_srt_path, "w", encoding="utf-8", errors="replace"
) as srt_file:
for i, (start, end, text) in enumerate(
chapter_subtitle_entries, 1
):
srt_file.write(
f"{i}\n{self._srt_time(start)} --> {self._srt_time(end)}\n{text}\n\n"
)
if 'ass' in subtitle_format:
# Generate ASS subtitle
is_centered = 'centered' in subtitle_format
is_narrow = 'narrow' in subtitle_format
self._write_ass_subtitle(chapter_subtitle_path, chapter_subtitle_entries, is_centered, is_narrow)
else:
# Generate SRT subtitle (default)
with open(
chapter_subtitle_path, "w", encoding="utf-8", errors="replace"
) as srt_file:
for i, (start, end, text) in enumerate(
chapter_subtitle_entries, 1
):
srt_file.write(
f"{i}\n{self._srt_time(start)} --> {self._srt_time(end)}\n{text}\n\n"
)
self.log_updated.emit(
(
f"\nChapter {chapter_idx} saved to: {chapter_out_path}\n\nSubtitle saved to: {chapter_srt_path}",
f"\nChapter {chapter_idx} saved to: {chapter_out_path}\n\nSubtitle saved to: {chapter_subtitle_path}",
"green",
)
)
@@ -594,66 +735,64 @@ class ConversionThread(QThread):
intended_output_format = self.output_format # Store the original choice
if audio_segments and merge_chapters:
self.log_updated.emit("\nFinalizing audio file...\n")
audio_data_np = self.np.concatenate(audio_segments)
self.log_updated.emit("\nFinalizing audio file...")
out_dir = parent_dir
base_filepath_no_ext = os.path.join(out_dir, f"{base_name}{suffix}")
final_out_path = None
# Use dedicated chapter processing for M4B when we have chapters
if intended_output_format == "m4b":
final_out_path = self._generate_m4b_with_chapters(audio_data_np, chapters_time, base_filepath_no_ext)
elif intended_output_format == "opus":
static_ffmpeg.add_paths()
opus_out_path = f"{base_filepath_no_ext}.opus"
ffmpeg_cmd_opus = [
"ffmpeg", "-y",
"-thread_queue_size", "32768", # Increased thread_queue_size
"-f", "f32le", "-ar", "24000", "-ac", "1", "-i", "pipe:0",
"-c:a", "libopus", "-b:a", "24000", # Original bitrate
opus_out_path,
]
try:
process = create_process(ffmpeg_cmd_opus, stdin=subprocess.PIPE, text=False) # Ensure binary stdin
process.stdin.write(audio_data_np.astype("float32").tobytes())
process.stdin.close()
if process.wait() == 0:
final_out_path = opus_out_path
else:
self.log_updated.emit(("Opus conversion failed.", "red"))
final_out_path = None
except Exception as e_opus:
self.log_updated.emit((f"Error during Opus conversion: {str(e_opus)}", "red"))
final_out_path = None
else: # For other formats like wav
standard_out_path = f"{base_filepath_no_ext}.{intended_output_format}"
try:
sf.write(standard_out_path, audio_data_np, 24000, format=intended_output_format)
final_out_path = standard_out_path
except Exception as e_sf:
self.log_updated.emit((f"Failed to write audio file {standard_out_path}: {str(e_sf)}", "red"))
self.log_updated.emit("\nGenerating audio with chapters...")
final_out_path = self._generate_m4b_with_chapters(
audio_segments, chapters_time, base_filepath_no_ext
)
else:
# Process audio segments using the unified function
success, final_out_path = self._process_audio_segments(
audio_segments, f"{base_filepath_no_ext}.{intended_output_format}",
intended_output_format,
use_ffmpeg=(intended_output_format in ["opus", "m4b"])
)
if not success:
final_out_path = None
if not final_out_path:
self.log_updated.emit(("Audio generation failed.", "red"))
self.conversion_finished.emit(("Audio generation failed.", "red"), None)
return
# Subtitle and final message logic
if final_out_path:
if self.subtitle_mode != "Disabled":
srt_path = os.path.splitext(final_out_path)[0] + ".srt"
with open(srt_path, "w", encoding="utf-8", errors="replace") as srt_file:
for i, (start, end, text) in enumerate(subtitle_entries, 1):
srt_file.write(
f"{i}\n{self._srt_time(start)} --> {self._srt_time(end)}\n{text}\n\n"
)
subtitle_format = getattr(self, 'subtitle_format', 'srt')
file_extension = 'ass' if 'ass' in subtitle_format else 'srt'
subtitle_path = os.path.splitext(final_out_path)[0] + f".{file_extension}"
if 'ass' in subtitle_format:
# Generate ASS subtitle with optional centering and margin
is_centered = 'centered' in subtitle_format
is_narrow = 'narrow' in subtitle_format
self._write_ass_subtitle(subtitle_path, subtitle_entries, is_centered, is_narrow)
else:
# Generate SRT subtitle (default)
with open(subtitle_path, "w", encoding="utf-8", errors="replace") as srt_file:
for i, (start, end, text) in enumerate(subtitle_entries, 1):
srt_file.write(
f"{i}\n{self._srt_time(start)} --> {self._srt_time(end)}\n{text}\n\n"
)
self.conversion_finished.emit(
(
f"Audiobook saved to: {final_out_path}\n\nSubtitle saved to: {srt_path}",
f"\nAudiobook saved to: {final_out_path}\n\nSubtitle saved to: {subtitle_path}",
"green",
),
final_out_path,
)
else:
self.conversion_finished.emit(
(f"Audiobook saved to: {final_out_path}", "green"), final_out_path
(f"\nAudiobook saved to: {final_out_path}", "green"), final_out_path
)
else:
self.log_updated.emit(("Audio generation failed (final_out_path was not set).", "red"))
@@ -680,86 +819,105 @@ class ConversionThread(QThread):
self.waiting_for_user_input = False
self._chapter_options_event.set()
def _generate_m4b_with_chapters(self, audio_data_np, chapters_time, base_filepath_no_ext):
def _generate_m4b_with_chapters(self, audio_segments, chapters_time, base_filepath_no_ext):
"""Generate M4B file with chapters from audio segments"""
final_wav_path = f"{base_filepath_no_ext}.wav"
if not chapters_time or len(chapters_time) <= 1:
self.log_updated.emit(
(
"File contains only one chapter or no chapters were detected. Audio will be saved as a standard .wav file instead.\n",
"red",
)
)
try:
sf.write(final_wav_path, audio_data_np, 24000, format="wav")
return final_wav_path
except Exception as e_wav_single:
self.log_updated.emit((f"Failed to save single/no chapter audio as WAV: {str(e_wav_single)}", "red"))
return None
output_m4b_path = f"{base_filepath_no_ext}.m4b"
chapters_info_path = f"{base_filepath_no_ext}_chapters.txt"
# Early check for single/no chapter case
if not chapters_time or len(chapters_time) <= 1:
self.log_updated.emit(
(
"\nFile contains only one chapter or no chapters were detected. Audio will be saved as a standard .wav file instead.",
"red",
)
)
# Use the established unified method to create a WAV file
success, wav_path = self._process_audio_segments(
audio_segments, final_wav_path, "wav", use_ffmpeg=False
)
if success:
return wav_path
else:
self.log_updated.emit((f"\nFailed to save single/no chapter audio as WAV", "red"))
return None
try:
# Write chapter metadata file
with open(chapters_info_path, "w", encoding="utf-8") as f:
f.write(";FFMETADATA1\n")
for chapter in chapters_time:
chapter_title = chapter['chapter'].replace('=', '\\=')
f.write(f"[CHAPTER]\n")
f.write(f"TIMEBASE=1/1000\n") # Using milliseconds for precision
f.write(f"TIMEBASE=1/1000\n")
f.write(f"START={int(chapter['start']*1000)}\n")
f.write(f"END={int(chapter['end']*1000)}\n")
f.write(f"title={chapter['chapter']}\n\n")
f.write(f"title={chapter_title}\n\n")
# For M4B with chapters, we need to use input file for chapter information
static_ffmpeg.add_paths()
ffmpeg_cmd = [
"ffmpeg", "-y",
"-thread_queue_size", "32768", # Increased thread_queue_size
"-f", "f32le", "-ar", "24000", "-ac", "1", "-i", "pipe:0",
metadata_options = self._extract_and_add_metadata_tags_to_ffmpeg_cmd()
# Use pipe-based approach for audio input with special args for M4B chapters
ffmpeg_args = [
"-i", chapters_info_path,
"-map", "0:a",
"-map_metadata", "1",
"-map_chapters", "1",
# Add metadata tags
"-metadata", "composer=Narrator",
"-metadata", "genre=Audiobook",
# Extract metadata from text markers if available
*self._extract_and_add_metadata_tags_to_ffmpeg_cmd(),
*metadata_options,
"-c:a", "aac",
"-q:a", "2", # Quality-based VBR for better quality control (lower = better, range 0.1-2)
"-q:a", "2", # Quality-based VBR for better quality control
"-movflags", "+faststart+use_metadata_tags", # Added for better compatibility
output_m4b_path,
]
self.log_updated.emit(f"Generating audio with chapters...\n")
# Use the established unified method with M4B-specific args
success, out_path = self._process_audio_segments(
audio_segments, output_m4b_path, "m4b", use_ffmpeg=True, ffmpeg_args=ffmpeg_args
)
process = create_process(ffmpeg_cmd, stdin=subprocess.PIPE, text=False) # Ensure binary stdin
process.stdin.write(audio_data_np.astype("float32").tobytes())
process.stdin.close()
return_code = process.wait()
if return_code == 0:
return output_m4b_path
else:
self.log_updated.emit(
(f"FFmpeg failed to create M4B (return code {return_code}).\n\nFalling back to WAV.\n", "red")
)
sf.write(final_wav_path, audio_data_np, 24000, format="wav")
return final_wav_path
except Exception as e:
self.log_updated.emit((f"Error during M4B generation: {str(e)}.\n\nFalling back to WAV.\n", "red"))
try:
sf.write(final_wav_path, audio_data_np, 24000, format="wav")
return final_wav_path
except Exception as e_wav_fallback:
self.log_updated.emit((f"Critical error: Failed to save fallback WAV: {str(e_wav_fallback)}\n", "red"))
return None
finally:
# Clean up the temporary chapter metadata file
if os.path.exists(chapters_info_path):
try:
os.remove(chapters_info_path)
except Exception as e_clean:
self.log_updated.emit((f"Warning: Could not delete temporary chapter file {chapters_info_path}: {e_clean}", "orange"))
except Exception as e:
self.log_updated.emit((f"Warning: Could not delete chapters file: {e}", "orange"))
if success:
return out_path
# If M4B generation failed, fallback to WAV
self.log_updated.emit((f"M4B conversion failed. Falling back to WAV.\n", "red"))
success, wav_path = self._process_audio_segments(
audio_segments, final_wav_path, "wav", use_ffmpeg=False
)
if success:
return wav_path
else:
self.log_updated.emit((f"Failed to write WAV file as fallback.", "red"))
return None
except Exception as e:
# General error during M4B generation - create WAV file directly as final output
self.log_updated.emit((f"Error during M4B generation: {str(e)}.\n\nFalling back to WAV.\n", "red"))
# Use the established unified method to create a WAV file as fallback
success, wav_path = self._process_audio_segments(
audio_segments, final_wav_path, "wav", use_ffmpeg=False
)
# Clean up temp files
if os.path.exists(chapters_info_path):
try:
os.remove(chapters_info_path)
except Exception:
pass
if success:
return wav_path
else:
self.log_updated.emit((f"Critical error: Failed to save WAV fallback", "red"))
return None
def _extract_and_add_metadata_tags_to_ffmpeg_cmd(self):
"""Extract metadata tags from text content and add them to ffmpeg command"""
@@ -784,13 +942,14 @@ class ConversionThread(QThread):
album_match = re.search(r"<<METADATA_ALBUM:([^>]*)>>", text)
year_match = re.search(r"<<METADATA_YEAR:([^>]*)>>", text)
album_artist_match = re.search(r"<<METADATA_ALBUM_ARTIST:([^>]*)>>", text)
composer_match = re.search(r"<<METADATA_COMPOSER:([^>]*)>>", text)
genre_match = re.search(r"<<METADATA_GENRE:([^>]*)>>", text)
# Use display path or filename as fallback for title
filename = os.path.splitext(os.path.basename(self.display_path if self.display_path else self.file_name))[0]
# Add title metadata
if title_match:
metadata_options.extend(["-metadata", f"title=Dinginliğin Gücü"])
metadata_options.extend(["-metadata", f"title={title_match.group(1)}"])
else:
metadata_options.extend(["-metadata", f"title={filename}"])
@@ -821,6 +980,18 @@ class ConversionThread(QThread):
else:
metadata_options.extend(["-metadata", f"album_artist=Unknown"])
# Add composer metadata
if composer_match:
metadata_options.extend(["-metadata", f"composer={composer_match.group(1)}"])
else:
metadata_options.extend(["-metadata", f"composer=Narrator"])
# Add genre metadata
if genre_match:
metadata_options.extend(["-metadata", f"genre={genre_match.group(1)}"])
else:
metadata_options.extend(["-metadata", f"genre=Audiobook"])
# Add these to ffmpeg command
return metadata_options
@@ -832,6 +1003,14 @@ class ConversionThread(QThread):
ms = int((t - int(t)) * 1000)
return f"{h:02}:{m:02}:{s:02},{ms:03}"
def _ass_time(self, t):
"""Helper function to format time for ASS files"""
h = int(t // 3600)
m = int((t % 3600) // 60)
s = int(t % 60)
cs = int((t - int(t)) * 100) # Centiseconds for ASS format
return f"{h}:{m:02}:{s:02}.{cs:02}"
def _process_subtitle_tokens(
self, tokens_with_timestamps, subtitle_entries, max_subtitle_words
):
@@ -918,6 +1097,30 @@ class ConversionThread(QThread):
(group[0]["start"], group[-1]["end"], text.strip())
)
def _write_ass_subtitle(self, file_path, subtitle_entries, is_centered=False, is_narrow=False):
with open(file_path, "w", encoding="utf-8", errors="replace") as f:
# Minimal ASS header
f.write("[Script Info]\n")
f.write("Title: Generated by Abogen\n")
f.write("ScriptType: v4.00+\n\n")
# Only events section, use override tags for positioning
f.write("[Events]\n")
f.write("Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text\n")
# Set margin based on is_narrow parameter
margin = "90" if is_narrow else ""
alignment_tag = ""
if is_centered:
alignment = 5
alignment_tag = f"{{\\an{alignment}}}"
# Write each subtitle with override tag for alignment and margins
for i, (start, end, text) in enumerate(subtitle_entries, 1):
start_time = self._ass_time(start)
end_time = self._ass_time(end)
f.write(f"Dialogue: 0,{start_time},{end_time},Default,,{margin},{margin},0,,{alignment_tag}{text}\n")
def cancel(self):
self.cancel_requested = True
self.waiting_for_user_input = (
+39 -8
View File
@@ -104,9 +104,15 @@ class IconProvider(QFileIconProvider):
class InputBox(QLabel):
LABEL_CSS = """QLabel { border:2px dashed #aaa; border-radius:5px; padding:20px; background:rgba(0, 102, 255, 0.05); min-height:100px; } QLabel:hover { background:rgba(0, 102, 255, 0.1); border-color:#6ab0de; }"""
LABEL_CSS_ACTIVE = """QLabel { border:2px dashed #42ad4a; border-radius:5px; padding:20px; background:rgba(66, 173, 73, 0.1);min-height:100px; } QLabel:hover { background:rgba(66, 173, 73, 0.15); border-color:#42ad4a; }"""
LABEL_CSS_ERROR = """QLabel { border:2px dashed #e74c3c; border-radius:5px; padding:20px; background:rgba(232, 78, 60, 0.10); min-height:100px; color:#c0392b; } QLabel:hover { background:rgba(232, 78, 60, 0.15); border-color:#e74c3c; }"""
# Define CSS styles as class constants
STYLE_DEFAULT = "border:2px dashed #aaa; border-radius:5px; padding:20px; background:rgba(0, 102, 255, 0.05); min-height:100px;"
STYLE_DEFAULT_HOVER = "background:rgba(0, 102, 255, 0.1); border-color:#6ab0de;"
STYLE_ACTIVE = "border:2px dashed #42ad4a; border-radius:5px; padding:20px; background:rgba(66, 173, 73, 0.1); min-height:100px;"
STYLE_ACTIVE_HOVER = "background:rgba(66, 173, 73, 0.15); border-color:#42ad4a;"
STYLE_ERROR = "border:2px dashed #e74c3c; border-radius:5px; padding:20px; background:rgba(232, 78, 60, 0.10); min-height:100px; color:#c0392b;"
STYLE_ERROR_HOVER = "background:rgba(232, 78, 60, 0.15); border-color:#e74c3c;"
def __init__(self, parent=None):
super().__init__(parent)
@@ -115,7 +121,7 @@ class InputBox(QLabel):
self.setText(
"Drag and drop your file here or click to browse.\n(.txt, .epub, .pdf)"
)
self.setStyleSheet(self.LABEL_CSS)
self.setStyleSheet(f"QLabel {{ {self.STYLE_DEFAULT} }} QLabel:hover {{ {self.STYLE_DEFAULT_HOVER} }}")
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.setCursor(Qt.PointingHandCursor)
self.clear_btn = QPushButton("", self)
@@ -222,7 +228,7 @@ class InputBox(QLabel):
)
# Set fixed width to force wrapping
self.setWordWrap(True)
self.setStyleSheet(self.LABEL_CSS_ACTIVE)
self.setStyleSheet(f"QLabel {{ {self.STYLE_ACTIVE} }} QLabel:hover {{ {self.STYLE_ACTIVE_HOVER} }}")
self.clear_btn.show()
is_document = self.window().selected_file_type in ["epub", "pdf"]
self.chapters_btn.setVisible(is_document)
@@ -253,7 +259,7 @@ class InputBox(QLabel):
def set_error(self, message):
self.setText(message)
self.setStyleSheet(self.LABEL_CSS_ERROR)
self.setStyleSheet(f"QLabel {{ {self.STYLE_ERROR} }} QLabel:hover {{ {self.STYLE_ERROR_HOVER} }}")
# Show textbox button in error state as well
self.textbox_btn.show()
@@ -265,7 +271,7 @@ class InputBox(QLabel):
self.setText(
"Drag and drop your file here or click to browse.\n(.txt, .epub, .pdf)"
)
self.setStyleSheet(self.LABEL_CSS)
self.setStyleSheet(f"QLabel {{ {self.STYLE_DEFAULT} }} QLabel:hover {{ {self.STYLE_DEFAULT_HOVER} }}")
self.clear_btn.hide()
self.chapters_btn.hide()
self.chapters_btn.setText("Chapters") # Reset text
@@ -1329,6 +1335,8 @@ class abogen(QWidget):
)
# Pass separate_chapters_format setting
self.conversion_thread.separate_chapters_format = self.separate_chapters_format
# Pass subtitle format setting
self.conversion_thread.subtitle_format = self.config.get("subtitle_format", "srt")
# Pass chapter count for EPUB or PDF files
if self.selected_file_type in ["epub", "pdf"] and hasattr(
self, "selected_chapters"
@@ -1925,6 +1933,24 @@ class abogen(QWidget):
max_words_action.triggered.connect(self.set_max_subtitle_words)
menu.addAction(max_words_action)
# Add subtitle format option
subtitle_format_menu = QMenu("Subtitle format", self)
subtitle_format_menu.setToolTip("Choose the format for generated subtitles")
subtitle_format_group = QActionGroup(self)
subtitle_format_group.setExclusive(True)
subtitle_format = self.config.get("subtitle_format", "srt")
for format_option in ["srt", "ass (wide)", "ass (narrow)", "ass (centered wide)", "ass (centered narrow)"]:
format_action = QAction(f"{format_option}", self)
format_action.setCheckable(True)
format_action.setChecked(subtitle_format == format_option)
format_action.triggered.connect(lambda checked, fmt=format_option: self.set_subtitle_format(fmt))
subtitle_format_group.addAction(format_action)
subtitle_format_menu.addAction(format_action)
menu.addMenu(subtitle_format_menu)
# Add separate chapters format option
separate_chapters_format_menu = QMenu("Separate chapters audio format", self)
separate_chapters_format_menu.setToolTip("Choose the format for individual chapter files")
@@ -1932,7 +1958,7 @@ class abogen(QWidget):
format_group = QActionGroup(self)
format_group.setExclusive(True)
for format_option in ["wav", "mp3", "flac", "opus"]:
for format_option in ["wav", "flac", "mp3", "opus"]:
format_action = QAction(format_option, self)
format_action.setCheckable(True)
format_action.setChecked(self.separate_chapters_format == format_option)
@@ -2475,6 +2501,11 @@ Categories=AudioVideo;Audio;Utility;
self.config["separate_chapters_format"] = fmt
save_config(self.config)
def set_subtitle_format(self, fmt):
"""Set the subtitle format."""
self.config["subtitle_format"] = fmt
save_config(self.config)
def show_model_download_warning(self, title, message):
QMessageBox.information(self, title, message)
+6 -15
View File
@@ -7,9 +7,10 @@ https://github.com/user-attachments/assets/9e4fc237-a3cd-46bd-b82c-c608336d6411
### What You Need
- A background image (bg.jpg)
- The subtitle file (.srt) **(created by Abogen)**
- The subtitle file (.ass) **(created by Abogen)**
- Select `ass(centered narrow)` as subtitle format in settings.
- The audio recording (.wav) **(created by Abogen)**
- [Python](https://www.python.org/downloads/) and FFmpeg installed on your computer:
- FFmpeg installed on your computer:
```bash
# Windows
@@ -22,22 +23,12 @@ brew install ffmpeg
sudo apt install ffmpeg
```
### Step 1: Process the Subtitle File
Run this command to process Abogen's subtitle file:
```
python convert.py your_subtitle.srt
```
This creates a properly formatted subtitle file called "your_subtitle_demo.ass" with centered text and appropriate styling.
### Step 2: Create the Video (.webm)
### Create the Video (.webm)
Run this FFmpeg command to create the tiny video:
```
ffmpeg -loop 1 -framerate 24 -i bg.jpg -i audio.wav -vf "ass=your_subtitle_demo.ass" -c:v libvpx-vp9 -b:v 0 -crf 30 -c:a libopus -shortest demo.webm
ffmpeg -loop 1 -framerate 24 -i bg.jpg -i audio.wav -vf "ass=subtitle.ass" -c:v libvpx-vp9 -b:v 0 -crf 30 -c:a libopus -shortest demo.webm
```
## For Higher Quality (But Larger) Video (.mp4)
@@ -45,7 +36,7 @@ ffmpeg -loop 1 -framerate 24 -i bg.jpg -i audio.wav -vf "ass=your_subtitle_demo.
If you need better quality for distribution, use this command instead:
```
ffmpeg -loop 1 -framerate 24 -i bg.jpg -i audio.wav -vf "ass=your_subtitle_demo.ass" -c:v libx264 -preset slow -crf 18 -movflags +faststart -c:a copy -shortest demo.mp4
ffmpeg -loop 1 -framerate 24 -i bg.jpg -i audio.wav -vf "ass=subtitle.ass" -c:v libx264 -preset slow -crf 18 -movflags +faststart -c:a copy -shortest demo.mp4
```
This creates an MP4 file that's compatible with more devices but larger in size.
-220
View File
@@ -1,220 +0,0 @@
# FFmpeg commands for creating videos:
#
# For WebM (smaller filesize):
# ffmpeg -loop 1 -framerate 24 -i bg.jpg -i audio.wav -vf "ass=your_subtitle_demo.ass" -c:v libvpx-vp9 -b:v 0 -crf 30 -c:a libopus -shortest demo.webm
#
# For MP4 (higher quality):
# ffmpeg -loop 1 -framerate 24 -i bg.jpg -i audio.wav -vf "ass=your_subtitle_demo.ass" -c:v libx264 -preset slow -crf 18 -movflags +faststart -c:a copy -shortest demo.mp4
#
# Note: Replace 'audio.wav' with your audio file and 'your_subtitle_demo.ass' with your processed subtitle file
import re
import sys
from datetime import timedelta
def parse_time(s):
# For ASS format
if ":" in s and "." in s:
h, m, s = s.split(":")
sec, cs = s.split(".")
return timedelta(
hours=int(h), minutes=int(m), seconds=int(sec), milliseconds=int(cs) * 10
)
# For SRT format (00:00:00,000)
elif ":" in s and "," in s:
parts = s.split(":")
h = int(parts[0])
m = int(parts[1])
sec_parts = parts[2].split(",")
sec = int(sec_parts[0])
ms = int(sec_parts[1])
return timedelta(hours=h, minutes=m, seconds=sec, milliseconds=ms)
return None
def format_time(t):
total_seconds = int(t.total_seconds())
cs = int((t.total_seconds() - total_seconds) * 100)
h = total_seconds // 3600
m = (total_seconds % 3600) // 60
s = total_seconds % 60
return f"{h}:{m:02}:{s:02}.{cs:02}"
# Desired script info and style
DESIRED_SCRIPT_INFO = """[Script Info]
Title: Centered Subs
ScriptType: v4.00+
PlayResX: 1280
PlayResY: 720
"""
DESIRED_STYLE = """[V4+ Styles]
Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding
Style: Default,Arial,60,&H00FFFFFF,&H000000FF,&H00000000,&H64000000,-1,0,0,0,100,100,0,0,1,2,0,5,10,10,10,1
"""
def process_subtitle_file(input_file):
output_file = input_file.replace(".ass", "_demo.ass").replace(".srt", "_demo.ass")
if output_file == input_file:
output_file = f"{input_file}_demo.ass"
try:
with open(input_file, "r", encoding="utf-8") as f:
lines = f.readlines()
except FileNotFoundError:
print(f"❌ Error: Input file '{input_file}' not found")
sys.exit(1)
except Exception as e:
print(f"❌ Error reading file: {e}")
sys.exit(1)
# Check if it's an SRT file
is_srt = input_file.lower().endswith(".srt")
if is_srt:
return convert_srt_to_ass(input_file, output_file, lines)
# Process ASS file
header = []
events = []
in_events = False
script_info_found = False
styles_found = False
for line in lines:
if line.strip().startswith("[Script Info]"):
script_info_found = True
header.append(DESIRED_SCRIPT_INFO)
continue
elif line.strip().startswith("[V4+ Styles]"):
styles_found = True
header.append(DESIRED_STYLE)
continue
elif line.strip().startswith("[Events]"):
in_events = True
header.append(line)
elif not in_events:
if not script_info_found and not styles_found:
header.append(line)
else:
if line.startswith("Dialogue:"):
events.append(line)
else:
header.append(line)
parsed_events = []
for line in events:
match = re.match(r"Dialogue: \d,([^,]+),([^,]+),", line)
if not match:
parsed_events.append((None, None, line))
continue
start = parse_time(match.group(1))
end = parse_time(match.group(2))
parsed_events.append((start, end, line))
# Cut overlaps
fixed_lines = []
for i in range(len(parsed_events)):
start, end, line = parsed_events[i]
if start is None:
fixed_lines.append(line)
continue
# Check for next subtitle
if i + 1 < len(parsed_events):
next_start, _, _ = parsed_events[i + 1]
if end > next_start:
end = next_start # cut current subtitle to stop at next one's start
fixed_line = re.sub(
r"Dialogue: \d,[^,]+,[^,]+,",
f"Dialogue: 0,{format_time(start)},{format_time(end)},",
line,
count=1,
)
fixed_lines.append(fixed_line)
try:
with open(output_file, "w", encoding="utf-8") as f:
f.writelines(header)
f.writelines(fixed_lines)
print(f"✅ Successfully processed. Output file: {output_file}")
except Exception as e:
print(f"❌ Error writing output file: {e}")
sys.exit(1)
def convert_srt_to_ass(input_file, output_file, lines):
"""Convert SRT format to ASS format."""
events = []
subtitle_blocks = []
current_block = []
# Parse SRT file
for line in lines:
line = line.strip()
if not line:
if current_block:
subtitle_blocks.append(current_block)
current_block = []
else:
current_block.append(line)
# Don't forget the last block
if current_block:
subtitle_blocks.append(current_block)
# Process subtitle blocks
for block in subtitle_blocks:
if len(block) < 3:
continue # Invalid block
# Skip the subtitle number
timing_line = block[1]
# Parse timing information
timing_match = re.match(
r"(\d+:\d+:\d+,\d+)\s+-->\s+(\d+:\d+:\d+,\d+)", timing_line
)
if not timing_match:
continue
start_time = parse_time(timing_match.group(1))
end_time = parse_time(timing_match.group(2))
# Combine text lines
text = "\\N".join(block[2:])
# Create ASS Dialogue line
dialogue_line = f"Dialogue: 0,{format_time(start_time)},{format_time(end_time)},Default,,0,0,0,,{text}\n"
events.append(dialogue_line)
# Create ASS file
try:
with open(output_file, "w", encoding="utf-8") as f:
f.write(DESIRED_SCRIPT_INFO)
f.write(DESIRED_STYLE)
f.write("[Events]\n")
f.write(
"Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text\n"
)
f.writelines(events)
print(f"✅ Successfully converted SRT to ASS. Output file: {output_file}")
return True
except Exception as e:
print(f"❌ Error writing output file: {e}")
sys.exit(1)
if __name__ == "__main__":
if len(sys.argv) < 2:
print("❌ Error: No input file specified")
print(f"Usage: {sys.argv[0]} <input_file.ass|input_file.srt>")
sys.exit(1)
input_file = sys.argv[1]
process_subtitle_file(input_file)
+130
View File
@@ -0,0 +1,130 @@
[Script Info]
Title: Generated by Abogen
ScriptType: v4.00+
[Events]
Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
Dialogue: 0,0:00:00.27,0:00:00.83,Default,,100,100,0,,{\an5}Abogen
Dialogue: 0,0:00:00.83,0:00:00.96,Default,,100,100,0,,{\an5}is
Dialogue: 0,0:00:00.96,0:00:01.11,Default,,100,100,0,,{\an5}your
Dialogue: 0,0:00:01.11,0:00:01.66,Default,,100,100,0,,{\an5}all-in-one
Dialogue: 0,0:00:01.66,0:00:02.04,Default,,100,100,0,,{\an5}tool
Dialogue: 0,0:00:02.04,0:00:02.17,Default,,100,100,0,,{\an5}for
Dialogue: 0,0:00:02.17,0:00:02.53,Default,,100,100,0,,{\an5}turning
Dialogue: 0,0:00:02.53,0:00:03.22,Default,,100,100,0,,{\an5}text
Dialogue: 0,0:00:03.22,0:00:03.45,Default,,100,100,0,,{\an5}into
Dialogue: 0,0:00:03.45,0:00:03.75,Default,,100,100,0,,{\an5}something
Dialogue: 0,0:00:03.75,0:00:03.85,Default,,100,100,0,,{\an5}you
Dialogue: 0,0:00:03.85,0:00:04.04,Default,,100,100,0,,{\an5}can
Dialogue: 0,0:00:04.04,0:00:04.32,Default,,100,100,0,,{\an5}see
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1
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Abogen
2
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is
3
00:00:01,100 --> 00:00:01,300
your
4
00:00:01,300 --> 00:00:01,887
all-in-one
5
00:00:01,887 --> 00:00:02,250
tool
6
00:00:02,250 --> 00:00:02,375
for
7
00:00:02,375 --> 00:00:02,762
turning
8
00:00:02,762 --> 00:00:03,162
text
9
00:00:03,162 --> 00:00:03,375
into
10
00:00:03,375 --> 00:00:03,725
something
11
00:00:03,725 --> 00:00:03,825
you
12
00:00:03,825 --> 00:00:04,025
can
13
00:00:04,025 --> 00:00:04,312
see
14
00:00:04,312 --> 00:00:04,450
and
15
00:00:04,450 --> 00:00:05,450
hear.
16
00:00:05,450 --> 00:00:05,900
Easily
17
00:00:05,900 --> 00:00:06,337
convert
18
00:00:06,337 --> 00:00:07,187
ePub,
19
00:00:07,187 --> 00:00:08,250
PDF,
20
00:00:08,250 --> 00:00:08,412
or
21
00:00:08,412 --> 00:00:08,800
text
22
00:00:08,800 --> 00:00:09,162
file
23
00:00:09,162 --> 00:00:09,425
into
24
00:00:09,425 --> 00:00:10,037
audio
25
00:00:10,037 --> 00:00:10,237
with
26
00:00:10,237 --> 00:00:10,875
subtitles
27
00:00:10,875 --> 00:00:11,087
that
28
00:00:11,087 --> 00:00:11,287
light
29
00:00:11,287 --> 00:00:11,487
up
30
00:00:11,487 --> 00:00:11,824
every
31
00:00:11,824 --> 00:00:12,175
word
32
00:00:12,175 --> 00:00:12,300
as
33
00:00:12,300 --> 00:00:12,449
its
34
00:00:12,449 --> 00:00:13,787
spoken.
35
00:00:13,787 --> 00:00:13,925
The
36
00:00:13,925 --> 00:00:14,275
voice
37
00:00:14,275 --> 00:00:14,425
you
38
00:00:14,425 --> 00:00:15,212
hear,
39
00:00:15,212 --> 00:00:15,337
and
40
00:00:15,337 --> 00:00:15,437
the
41
00:00:15,437 --> 00:00:16,024
subtitles
42
00:00:16,024 --> 00:00:16,162
you
43
00:00:16,162 --> 00:00:16,487
see
44
00:00:16,487 --> 00:00:16,649
are
45
00:00:16,649 --> 00:00:16,975
both
46
00:00:16,975 --> 00:00:17,449
created
47
00:00:17,449 --> 00:00:18,362
automatically
48
00:00:18,362 --> 00:00:18,550
by
49
00:00:18,550 --> 00:00:19,074
Abogen
50
00:00:19,074 --> 00:00:19,425
using
51
00:00:19,425 --> 00:00:20,512
Kokoro,
52
00:00:20,512 --> 00:00:20,637
a
53
00:00:20,637 --> 00:00:21,237
powerful
54
00:00:21,237 --> 00:00:22,050
text-to-speech
55
00:00:22,050 --> 00:00:23,225
engine.
56
00:00:23,225 --> 00:00:23,750
Everything
57
00:00:23,750 --> 00:00:24,062
works
58
00:00:24,062 --> 00:00:24,312
right
59
00:00:24,312 --> 00:00:24,412
on
60
00:00:24,412 --> 00:00:24,524
your
61
00:00:24,524 --> 00:00:25,437
computer,
62
00:00:25,437 --> 00:00:25,625
so
63
00:00:25,625 --> 00:00:25,812
your
64
00:00:25,812 --> 00:00:26,225
files
65
00:00:26,225 --> 00:00:26,524
stay
66
00:00:26,524 --> 00:00:27,112
private
67
00:00:27,112 --> 00:00:27,274
and
68
00:00:27,274 --> 00:00:28,337
secure.
69
00:00:28,725 --> 00:00:28,862
The
70
00:00:28,862 --> 00:00:29,225
easy
71
00:00:29,225 --> 00:00:29,824
interface
72
00:00:29,824 --> 00:00:30,112
lets
73
00:00:30,112 --> 00:00:30,637
anyone
74
00:00:30,637 --> 00:00:31,062
create
75
00:00:31,062 --> 00:00:32,299
audiobooks,
76
00:00:32,299 --> 00:00:33,075
voiceovers
77
00:00:33,075 --> 00:00:33,237
for
78
00:00:33,237 --> 00:00:34,325
Instagram,
79
00:00:34,325 --> 00:00:34,962
YouTube
80
00:00:34,962 --> 00:00:35,137
or
81
00:00:35,137 --> 00:00:35,950
TikTok,
82
00:00:35,950 --> 00:00:36,100
or
83
00:00:36,100 --> 00:00:36,325
just
84
00:00:36,325 --> 00:00:37,024
high-quality
85
00:00:37,024 --> 00:00:37,850
text-to-speech
86
00:00:37,850 --> 00:00:38,000
in
87
00:00:38,000 --> 00:00:39,187
seconds.
88
00:00:39,187 --> 00:00:39,475
Whether
89
00:00:39,475 --> 00:00:39,625
you
90
00:00:39,625 --> 00:00:39,825
want
91
00:00:39,825 --> 00:00:39,924
to
92
00:00:39,924 --> 00:00:40,662
listen,
93
00:00:40,662 --> 00:00:41,000
create
94
00:00:41,000 --> 00:00:41,774
content,
95
00:00:41,774 --> 00:00:41,924
or
96
00:00:41,924 --> 00:00:42,137
bring
97
00:00:42,137 --> 00:00:42,250
your
98
00:00:42,250 --> 00:00:42,575
words
99
00:00:42,575 --> 00:00:42,700
to
100
00:00:42,700 --> 00:00:43,512
life,
101
00:00:43,512 --> 00:00:44,075
Abogen
102
00:00:44,075 --> 00:00:44,350
makes
103
00:00:44,350 --> 00:00:44,525
it
104
00:00:44,525 --> 00:00:45,299
fast,
105
00:00:45,299 --> 00:00:45,825
fun,
106
00:00:45,825 --> 00:00:45,950
and
107
00:00:45,950 --> 00:00:47,275
effortless.
108
00:00:47,275 --> 00:00:47,962
Experience
109
00:00:47,962 --> 00:00:48,075
your
110
00:00:48,075 --> 00:00:48,812
stories,
111
00:00:48,812 --> 00:00:49,350
scripts,
112
00:00:49,350 --> 00:00:49,500
and
113
00:00:49,500 --> 00:00:50,075
ideas
114
00:00:50,075 --> 00:00:50,174
in
115
00:00:50,174 --> 00:00:50,299
a
116
00:00:50,299 --> 00:00:50,662
whole
117
00:00:50,662 --> 00:00:50,850
new
118
00:00:50,850 --> 00:00:51,150
way
119
00:00:51,150 --> 00:00:51,299
with
120
00:00:51,299 --> 00:00:52,424
Abogen.