traceypooh/audio2text
creates text from audio of A/V input file, using docker, sphinx. extracts keywords and NLP entities. leverages OpenNews, Stanford, Oxford, CMU and more
This tool helps you convert audio from video or audio files into a searchable text transcript, even without an internet connection. It takes an audio or video file as input and provides a full transcript, a timed transcript (SRT), and automatically extracts important keywords, people, locations, and organizations. It's ideal for journalists, researchers, or anyone needing to analyze spoken content from recordings.
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Use this if you need to quickly get a text transcript and identify key information from an audio or video file, especially when working offline or with sensitive content.
Not ideal if you require highly accurate, human-quality transcriptions or need to process very long audio files with complex terminology.
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Last pushed
Mar 04, 2017
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/traceypooh/audio2text"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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