AudioToText Optimizer
A lightweight, local command-line tool designed to prepare and compress audio/video files for fast, highly accurate AI Speech-to-Text transcription.
This tool is created and maintained by FreeAudioToText.com.
Why use this tool?
Most modern AI transcription models (like Whisper) downsample audio to 16kHz mono before processing. Uploading a massive 4K video file or a 320kbps stereo MP3 to a transcription service just wastes bandwidth and upload time.
audiototext-optimizer uses ffmpeg locally to perfectly format your media for transcription (16kHz, mono, 64k bitrate), reducing file sizes by up to 90% without losing any vocal clarity.
Installation
pip install audiototext-optimizer
Note: You must have ffmpeg installed on your system.
Usage
Simply pass your audio or video file to the CLI:
audiototext-optimize my_podcast.wav
This will automatically create a highly compressed my_podcast_optimized.mp3 file.
You can then upload this optimized file directly to FreeAudioToText for secure, privacy-first transcription.
Links
Metadata
Release files for audiototext-optimizer 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| audiototext_optimizer-0.1.0.tar.gz | 2.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| audiototext_optimizer-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.4 kB
Release files / audiototext_optimizer-0.1.0.tar.gz
| Download URL | audiototext_optimizer-0.1.0.tar.gz |
|---|---|
| Size | 2.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Release files / audiototext_optimizer-0.1.0-py3-none-any.whl
| Download URL | audiototext_optimizer-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|