--- title: "whisperX vs whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/m-bain-whisperx-vs-openai-whisper" tools: ["m-bain-whisperx", "openai-whisper"] --- # whisperX vs whisper *GraphCanon updated Jul 17, 2026* ## Verdict Coexists - Provides enhanced functionality beyond basic transcription. [whisperX](https://github.com/m-bain/whisperX) reports 23k GitHub stars, 2.3k forks, and 200 open issues, last pushed Jun 26, 2026. [whisper](https://github.com/openai/whisper) has 105k stars, 13k forks, and 135 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [whisperX's repository](https://github.com/m-bain/whisperX) and [whisper's repository](https://github.com/openai/whisper). | | [whisperX](/tools/m-bain-whisperx.md) | [whisper](/tools/openai-whisper.md) | | --- | --- | --- | | Tagline | WhisperX for automatic speech recognition with word-level timestamps and diarization | Robust Speech Recognition via Large-Scale Weak Supervision | | Stars | 23,011 | 104,745 | | Forks | 2,336 | 12,760 | | Open issues | 200 | 135 | | Language | Python | Python | | Adopt for | WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. | Decisions about Whisper should consider its application in contexts requiring large-scale weak supervision models for speech recognition, especially where robustness is paramount. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whisperX](/tools/m-bain-whisperx.md) | [whisper](/tools/openai-whisper.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 15d | 87d | | Open issues (now) | 200 | 135 | | Owner type | User | Organization | | Full report | [trust report](/tools/m-bain-whisperx/trust.md) | [trust report](/tools/openai-whisper/trust.md) | **Typed relationship:** whisperX _(successor)_ whisper whisperX extends Whisper with automatic speech recognition featuring word-level timestamps and diarization. Coexists - Provides enhanced functionality beyond basic transcription. ## Decision facts: whisperX - **Adopt for:** WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. ## Decision facts: whisper - **Adopt for:** Decisions about Whisper should consider its application in contexts requiring large-scale weak supervision models for speech recognition, especially where robustness is paramount. ## Choose when ### Choose whisperX if… - License: whisperX is BSD-2-Clause, whisper is MIT. - whisperX extends Whisper with automatic speech recognition featuring word-level timestamps and diarization. - Tags unique to whisperX: asr, speech, speech-to-text, whisper. - When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs. ### Choose whisper if… - License: whisper is MIT, whisperX is BSD-2-Clause. - whisperX extends Whisper with automatic speech recognition featuring word-level timestamps and diarization. - Tags unique to whisper: openai, weak supervision. - When you need a tool that leverages large-scale weak supervision to improve the accuracy and reliability of speech recognition. ## When NOT to use whisperX - Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg. - Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant. ## When NOT to use whisper - In scenarios necessitating real-time processing where delays associated with large-scale model inference cannot be tolerated. - If your project strictly requires open collaboration licensing terms beyond the permissive nature of MIT license, such as those which enforce sharing improvements back into the original repository. ## Common questions ### What is the difference between whisperX and whisper? whisperX: WhisperX for automatic speech recognition with word-level timestamps and diarization. whisper: Robust Speech Recognition via Large-Scale Weak Supervision. See the comparison table for live GitHub stats and shared categories. ### When should I choose whisperX over whisper? Choose whisperX over whisper when License: whisperX is BSD-2-Clause, whisper is MIT; whisperX extends Whisper with automatic speech recognition featuring word-level timestamps and diarization; Tags unique to whisperX: asr, speech, speech-to-text, whisper; When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs. ### When should I choose whisper over whisperX? Choose whisper over whisperX when License: whisper is MIT, whisperX is BSD-2-Clause; whisperX extends Whisper with automatic speech recognition featuring word-level timestamps and diarization; Tags unique to whisper: openai, weak supervision; When you need a tool that leverages large-scale weak supervision to improve the accuracy and reliability of speech recognition. ### When should I avoid whisperX? Avoid WhisperX if you require a lightweight solution as it may necessitate additional installations like CUDA and ffmpeg. Do not use this tool if your environment is constrained to CPU-only operations without access to the required GPU acceleration libraries, as performance limitations could be significant. ### When should I avoid whisper? In scenarios necessitating real-time processing where delays associated with large-scale model inference cannot be tolerated. If your project strictly requires open collaboration licensing terms beyond the permissive nature of MIT license, such as those which enforce sharing improvements back into the original repository. ### Is whisperX or whisper more popular on GitHub? whisper has more GitHub stars (104,745 vs 23,011). Stars measure visibility, not whether either tool fits your constraints. ### Are whisperX and whisper open source? Yes - both are open-source projects on GitHub (whisperX: BSD-2-Clause, whisper: MIT). ### Where can I find alternatives to whisperX or whisper? GraphCanon lists graph-backed alternatives at [whisperX alternatives](/tools/m-bain-whisperx/alternatives) and [whisper alternatives](/tools/openai-whisper/alternatives) ([whisperX markdown twin](/tools/m-bain-whisperx/alternatives.md), [whisper markdown twin](/tools/openai-whisper/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/m-bain-whisperx-vs-openai-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whisperX or whisper? whisperX: Active. whisper: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for whisperX and whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whisperX trust report](/tools/m-bain-whisperx/trust); [whisper trust report](/tools/openai-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=m-bain-whisperx`](/api/graphcanon/graph?tool=m-bain-whisperx) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_