whisperX-FastAPI and whisper-asr-webservice

These are ecosystem siblings, as they both offer an API wrapper around different versions of theWhisper speech-to-text model, with `ahmetoner/whisper-asr-webservice` using OpenAI's original Whisper and `pavelzbornik/whisperX-FastAPI` utilizing WhisperX, an enhanced version of Whisper.

whisperX-FastAPI
61
Established
whisper-asr-webservice
56
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 174
Forks: 58
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 3,202
Forks: 568
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About whisperX-FastAPI

pavelzbornik/whisperX-FastAPI

FastAPI service on top of WhisperX

This tool helps convert audio and video recordings into text transcripts, identifying different speakers and aligning the text with the audio. You provide an audio or video file (like an interview, meeting recording, or lecture) and receive a detailed text output, making it easier to analyze spoken content. Anyone who needs to extract written information from spoken content, such as journalists, researchers, or content creators, would find this useful.

transcription audio-analysis video-processing speaker-diarization content-analysis

About whisper-asr-webservice

ahmetoner/whisper-asr-webservice

OpenAI Whisper ASR Webservice API

This tool helps convert spoken audio from various sources into text, translations, or identified languages. You provide an audio or video file, and it outputs precise transcripts, translations, or language labels in formats like text, JSON, or SRT. This is ideal for anyone who needs to quickly and accurately process spoken content, such as content creators, researchers, or analysts.

transcription audio-analysis content-creation multilingual-support research-assist

Scores updated daily from GitHub, PyPI, and npm data. How scores work