SpeechRecognition
6.1#25 in speech recognition softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitSpeechRecognition vs Whisper
What both publish
| Fact | SpeechRecognition | Whisper |
|---|---|---|
| Installation | The README gives `pip install SpeechRecognition` as the easiest installation method and also describes installing from the PyPI source distribution. | The official installation command is pip install -U openai-whisper, with a Git installation option also documented. |
| License | The library is available under the 3-clause BSD license; included FLAC binaries are GPLv2-licensed. | Whisper's code and model weights are released under the MIT License. |
| Purpose | SpeechRecognition is a Python library for speech recognition with support for several engines and APIs, online and offline. | Whisper is a general-purpose speech recognition model for multilingual transcription, speech translation, and language identification. |
SpeechRecognition plans
- Free/open-source libraryFree
Whisper plans
- Self-hosted WhisperFree
- Whisper (open-source code and model weights)Free
- Whisper API$0.01 a month
Pick SpeechRecognition if…
SpeechRecognition suits Python developers who need to connect applications to different speech engines or APIs. It can fit projects needing offline recognition or microphone and audio-file workflows.
Pick Whisper if…
Whisper may suit developers and researchers building speech-processing applications or exploring multilingual transcription and translation. It is also an option for people comfortable installing and running command-line or Python software locally.