--- title: "whisperX vs aeneas" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/m-bain-whisperx-vs-readbeyond-aeneas" tools: ["m-bain-whisperx", "readbeyond-aeneas"] --- # whisperX vs aeneas *GraphCanon updated Jul 30, 2026* ## Verdict Pick whisperX if whisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python; pick aeneas if aeneas is a Python library and CLI toolset for audio-text synchronization specifically designed to address forced alignment needs. [whisperX](https://github.com/m-bain/whisperX) reports 23k GitHub stars, 2.4k forks, and 207 open issues, last pushed Jul 13, 2026. [aeneas](http://www.readbeyond.it/aeneas/) has 2.9k stars, 274 forks, and 37 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [whisperX's repository](https://github.com/m-bain/whisperX) and [aeneas's repository](https://github.com/readbeyond/aeneas). | | [whisperX](/tools/m-bain-whisperx.md) | [aeneas](/tools/readbeyond-aeneas.md) | | --- | --- | --- | | Tagline | WhisperX for automatic speech recognition with word-level timestamps and diarization | Python library and tools for audio-text synchronization | | Stars | 23,329 | 2,855 | | Forks | 2,361 | 274 | | Open issues | 207 | 37 | | Language | Python | Python | | Adopt for | WhisperX is an Automatic Speech Recognition tool that provides ASR with word-level timestamps and speaker identification using Python. | Aeneas is a Python library and CLI toolset for audio-text synchronization specifically designed to address forced alignment needs. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | AGPL-3.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whisperX](/tools/m-bain-whisperx.md) | [aeneas](/tools/readbeyond-aeneas.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 16d | 4d | | Open issues (now) | 207 | 37 | | Full report | [trust report](/tools/m-bain-whisperx/trust.md) | [trust report](/tools/readbeyond-aeneas/trust.md) | ## Shared compatibility - **Python**: [whisperX](/tools/m-bain-whisperx.md) - Python runtime; [aeneas](/tools/readbeyond-aeneas.md) - Python runtime ## 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: aeneas - **Requirements:** Min 4 GB RAM; Python 2.7 or later; FFmpeg; eSpeak; Numpy, BeautifulSoup4, lxml as Python packages - **Adopt for:** Aeneas is a Python library and CLI toolset for audio-text synchronization specifically designed to address forced alignment needs. ## Choose when ### Choose whisperX if… - License: whisperX is BSD-2-Clause, aeneas is AGPL-3.0. - Tags unique to whisperX: asr, speech-recognition, speech-to-text, whisper. - When you need precise automatic speech recognition (ASR) with word-level timestamps for accurate transcription and synchronization needs. ### Choose aeneas if… - License: aeneas is AGPL-3.0, whisperX is BSD-2-Clause. - Requirements: Min 4 GB RAM; Python 2.7 or later; FFmpeg; eSpeak; Numpy, BeautifulSoup4, lxml as Python packages. - Tags unique to aeneas: alignment, audio, cli, dtw. - When you need precise alignment of text with spoken words in audio files, as Aeneas excels at forced alignment tasks ## 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 aeneas - Avoid if your system cannot meet the minimum requirements for Python versions below 3.5 or lacks essential dependencies such as FFmpeg or eSpeak - Do not use when a more lightweight solution suffices, as Aeneas includes comprehensive but resource-intensive C/C++ extensions ## Common questions ### What is the difference between whisperX and aeneas? whisperX: WhisperX for automatic speech recognition with word-level timestamps and diarization. aeneas: Python library and tools for audio-text synchronization. See the comparison table for live GitHub stats and shared categories. ### When should I choose whisperX over aeneas? Choose whisperX over aeneas when License: whisperX is BSD-2-Clause, aeneas is AGPL-3.0; Tags unique to whisperX: asr, speech-recognition, 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 aeneas over whisperX? Choose aeneas over whisperX when License: aeneas is AGPL-3.0, whisperX is BSD-2-Clause; Requirements: Min 4 GB RAM; Python 2.7 or later; FFmpeg; eSpeak; Numpy, BeautifulSoup4, lxml as Python packages; Tags unique to aeneas: alignment, audio, cli, dtw; When you need precise alignment of text with spoken words in audio files, as Aeneas excels at forced alignment tasks. ### 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 aeneas? Avoid if your system cannot meet the minimum requirements for Python versions below 3.5 or lacks essential dependencies such as FFmpeg or eSpeak Do not use when a more lightweight solution suffices, as Aeneas includes comprehensive but resource-intensive C/C++ extensions ### Is whisperX or aeneas more popular on GitHub? whisperX has more GitHub stars (23,329 vs 2,855). Stars measure visibility, not whether either tool fits your constraints. ### Are whisperX and aeneas open source? Yes - both are open-source projects on GitHub (whisperX: BSD-2-Clause, aeneas: AGPL-3.0). ### Where can I find alternatives to whisperX or aeneas? GraphCanon lists graph-backed alternatives at [whisperX alternatives](/tools/m-bain-whisperx/alternatives) and [aeneas alternatives](/tools/readbeyond-aeneas/alternatives) ([whisperX markdown twin](/tools/m-bain-whisperx/alternatives.md), [aeneas markdown twin](/tools/readbeyond-aeneas/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-readbeyond-aeneas.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whisperX or aeneas? whisperX: Active. aeneas: Very active. 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 aeneas? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whisperX trust report](/tools/m-bain-whisperx/trust); [aeneas trust report](/tools/readbeyond-aeneas/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/_