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Audio-Transcriber

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Version: 0.5.37

Transcribe your .wav .mp4 .mp3 .flac files to text or record your own audio!

This repository is actively maintained - Contributions are welcome!

Contribution Opportunities:

  • Support new models
Usage:
Short Flag Long Flag Description
-h --help See Usage
-b --bitrate Bitrate to use during recording
-c --channels Number of channels to use during recording
-d --directory Directory to save recording
-e --export Export txt, srt, and vtt files
-f --file File to transcribe
-l --language Language to transcribe
-m --model Model to use: <tiny, base, small, medium, large>
-n --name Name of recording
-r --record Specify number of seconds to record to record from microphone
Example:
audio-transcriber --file '~/Downloads/Federal_Reserve.mp4' --model 'large'
audio-transcriber --record 60 --directory '~/Downloads/' --name 'my_recording.wav' --model 'tiny'
Model Information:

Courtesy of and Credits to OpenAI: Whisper.ai

Size Parameters English-only model Multilingual model Required VRAM Relative speed
tiny 39 M tiny.en tiny ~1 GB ~32x
base 74 M base.en base ~1 GB ~16x
small 244 M small.en small ~2 GB ~6x
medium 769 M medium.en medium ~5 GB ~2x
large 1550 M N/A large ~10 GB 1x
Installation Instructions:

Install Python Package

python -m pip install audio-transcriber
Ubuntu Dependencies
apt install -y libasound-dev portaudio19-dev libportaudio2 libportaudiocpp0 ffmpeg

Geniusbot Application

Use with a GUI through Geniusbot

Visit our GitHub for more information

Installation Instructions with Geniusbot:

Install Python Package

python -m pip install geniusbot
Repository Owners:

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