---
title: "aeneas vs annyang"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/readbeyond-aeneas-vs-talater-annyang"
tools: ["readbeyond-aeneas", "talater-annyang"]
---

# aeneas vs annyang

*GraphCanon updated Jul 30, 2026*

## Verdict

Pick aeneas if aeneas is a Python library and CLI toolset for audio-text synchronization specifically designed to address forced alignment needs; pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library.

[aeneas](http://www.readbeyond.it/aeneas/) reports 2.9k GitHub stars, 274 forks, and 37 open issues, last pushed Jul 25, 2026. [annyang](https://www.talater.com/annyang/) has 6.8k stars, 1.0k forks, and 10 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [aeneas's repository](https://github.com/readbeyond/aeneas) and [annyang's repository](https://github.com/TalAter/annyang).

| | [aeneas](/tools/readbeyond-aeneas.md) | [annyang](/tools/talater-annyang.md) |
| --- | --- | --- |
| Tagline | Python library and tools for audio-text synchronization | Speech recognition for your site |
| Stars | 2,855 | 6,818 |
| Forks | 274 | 1,048 |
| Open issues | 37 | 10 |
| Language | Python | TypeScript |
| Adopt for | Aeneas is a Python library and CLI toolset for audio-text synchronization specifically designed to address forced alignment needs. | annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. |
| Categories | Speech & Audio | Speech & Audio |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [aeneas](/tools/readbeyond-aeneas.md) | [annyang](/tools/talater-annyang.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 4d | 15d |
| Open issues (now) | 37 | 10 |
| Full report | [trust report](/tools/readbeyond-aeneas/trust.md) | [trust report](/tools/talater-annyang/trust.md) |

## 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.

## Decision facts: annyang

- **Pricing:** freemium - Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.
- **Adopt for:** annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library.
- **License detail:** MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit.

## Choose when

### Choose aeneas if…

- aeneas is primarily Python; annyang is TypeScript.
- License: aeneas is AGPL-3.0, annyang is MIT.
- 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

### Choose annyang if…

- annyang is primarily TypeScript; aeneas is Python.
- License: annyang is MIT, aeneas is AGPL-3.0.
- Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects..
- Tags unique to annyang: mit-license, speech-recognition, speech-to-text, voice.
- When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript.

## 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

## When NOT to use annyang

- If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions.
- For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases.

## Common questions

### What is the difference between aeneas and annyang?

aeneas: Python library and tools for audio-text synchronization. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories.

### When should I choose aeneas over annyang?

Choose aeneas over annyang when aeneas is primarily Python; annyang is TypeScript; License: aeneas is AGPL-3.0, annyang is MIT; 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 choose annyang over aeneas?

Choose annyang over aeneas when annyang is primarily TypeScript; aeneas is Python; License: annyang is MIT, aeneas is AGPL-3.0; Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.; Tags unique to annyang: mit-license, speech-recognition, speech-to-text, voice; When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript.

### 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

### When should I avoid annyang?

If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases.

### Is aeneas or annyang more popular on GitHub?

annyang has more GitHub stars (6,818 vs 2,855). Stars measure visibility, not whether either tool fits your constraints.

### Are aeneas and annyang open source?

Yes - both are open-source projects on GitHub (aeneas: AGPL-3.0, annyang: MIT).

### Where can I find alternatives to aeneas or annyang?

GraphCanon lists graph-backed alternatives at [aeneas alternatives](/tools/readbeyond-aeneas/alternatives) and [annyang alternatives](/tools/talater-annyang/alternatives) ([aeneas markdown twin](/tools/readbeyond-aeneas/alternatives.md), [annyang markdown twin](/tools/talater-annyang/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/readbeyond-aeneas-vs-talater-annyang.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, aeneas or annyang?

aeneas: Very active. annyang: 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 aeneas and annyang?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aeneas trust report](/tools/readbeyond-aeneas/trust); [annyang trust report](/tools/talater-annyang/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=readbeyond-aeneas`](/api/graphcanon/graph?tool=readbeyond-aeneas)
- 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/_
