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

# TypeNo vs annyang

*GraphCanon updated Jul 31, 2026*

## Verdict

Pick TypeNo if typeNo is a privacy-focused voice input application tailored for macOS users, emphasizing local processing of audio inputs and built with Swift under the GPL-3.0 license; pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library.

[TypeNo](https://typeno.com) reports 880 GitHub stars, 70 forks, and 3 open issues, last pushed May 26, 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 [TypeNo's repository](https://github.com/marswaveai/TypeNo) and [annyang's repository](https://github.com/TalAter/annyang).

| | [TypeNo](/tools/marswaveai-typeno.md) | [annyang](/tools/talater-annyang.md) |
| --- | --- | --- |
| Tagline | A free, open source, privacy-first voice input app for macOS | Speech recognition for your site |
| Stars | 880 | 6,818 |
| Forks | 70 | 1,048 |
| Open issues | 3 | 10 |
| Language | Swift | TypeScript |
| Adopt for | TypeNo is a privacy-focused voice input application tailored for macOS users, emphasizing local processing of audio inputs and built with Swift under the GPL-3.0 license. | annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. |
| Persona | - | - |
| Runtime | - | - |
| License | GPL-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._

| | [TypeNo](/tools/marswaveai-typeno.md) | [annyang](/tools/talater-annyang.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Active (82%) |
| Days since push | 65d | 15d |
| Open issues (now) | 3 | 10 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/marswaveai-typeno/trust.md) | [trust report](/tools/talater-annyang/trust.md) |

## Shared compatibility

- **Node.js**: [TypeNo](/tools/marswaveai-typeno.md) - Node.js runtime; [annyang](/tools/talater-annyang.md) - Node.js runtime

## Decision facts: TypeNo

- **Adopt for:** TypeNo is a privacy-focused voice input application tailored for macOS users, emphasizing local processing of audio inputs and built with Swift under the GPL-3.0 license.

## 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 TypeNo if…

- TypeNo is primarily Swift; annyang is TypeScript.
- License: TypeNo is GPL-3.0, annyang is MIT.
- Tags unique to TypeNo: accessibility, dictation, local-first, macos.
- When you need to use speech-to-text functionality while valuing your privacy as all its operations are locally performed.

### Choose annyang if…

- annyang is primarily TypeScript; TypeNo is Swift.
- License: annyang is MIT, TypeNo is GPL-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, speech-recognition, speech-to-text.
- 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 TypeNo

- In cases where the application requires internet access for server-side processing of voice commands, as TypeNo operates entirely offline with local speech recognition.
- When development or usage is planned on platforms other than macOS since the app is not compatible or tested outside this ecosystem.

## 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 TypeNo and annyang?

TypeNo: A free, open source, privacy-first voice input app for macOS. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories.

### When should I choose TypeNo over annyang?

Choose TypeNo over annyang when TypeNo is primarily Swift; annyang is TypeScript; License: TypeNo is GPL-3.0, annyang is MIT; Tags unique to TypeNo: accessibility, dictation, local-first, macos; When you need to use speech-to-text functionality while valuing your privacy as all its operations are locally performed.

### When should I choose annyang over TypeNo?

Choose annyang over TypeNo when annyang is primarily TypeScript; TypeNo is Swift; License: annyang is MIT, TypeNo is GPL-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, speech-recognition, speech-to-text; 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 TypeNo?

In cases where the application requires internet access for server-side processing of voice commands, as TypeNo operates entirely offline with local speech recognition. When development or usage is planned on platforms other than macOS since the app is not compatible or tested outside this ecosystem.

### 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 TypeNo or annyang more popular on GitHub?

annyang has more GitHub stars (6,818 vs 880). Stars measure visibility, not whether either tool fits your constraints.

### Are TypeNo and annyang open source?

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

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

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

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

TypeNo: Steady. 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 TypeNo and annyang?

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

---

**Machine-readable endpoints**

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