Otter.ai has saved reporters hours transcribing interviews. Caveat emptor

• silero-models

  32 4,534 4.7 Jupyter Notebook

  Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

Silero[0] seems to have decent performance (although you will have to some minimal coding). I believe there are better ones if you're willing to tinker a bit more.

[0]: https://github.com/snakers4/silero-models

• vscode-ltex

  9 742 0.0 TypeScript

  LTeX: Grammar/spell checker :mag::heavy_check_mark: for VS Code using LanguageTool with support for LaTeX :mortar_board:, Markdown :pencil:, and others

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• mp4grep

  13 269 0.0 C

  mp4grep is a CLI for transcribing and searching audio/video files

The output is more intended for captioning so it's lots of short phrases with timestamps and no punctuation, but it'll give you a quick taste of what Vosk can do.

[1] https://github.com/o-oconnell/mp4grep

• TTS

  231 29,174 9.5 Python

  🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  

The Mozilla DeepSpeech spin-off Coqui has an STT that is locally installable:

https://coqui.ai/

Suggest a related project