---
title: "obs-localvocal vs awesome-whisper"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/royshil-obs-localvocal-vs-sindresorhus-awesome-whisper"
tools: ["royshil-obs-localvocal", "sindresorhus-awesome-whisper"]
---

# obs-localvocal vs awesome-whisper

*GraphCanon updated Jul 30, 2026*

## Verdict

Pick obs-localvocal if obs-localvocal is an OBS plugin enabling real-time speech-to-text transcription and translation using AI models that run locally; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.

[obs-localvocal](https://obsproject.com/forum/resources/localvocal-live-stream-ai-assistant.1769/) reports 1.6k GitHub stars, 120 forks, and 55 open issues, last pushed May 20, 2026. [awesome-whisper](https://github.com/sindresorhus/awesome-whisper) has 2.4k stars, 156 forks, and 7 open issues, last pushed Mar 17, 2026. Figures are from public GitHub metadata via [obs-localvocal's repository](https://github.com/royshil/obs-localvocal) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper).

| | [obs-localvocal](/tools/royshil-obs-localvocal.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) |
| --- | --- | --- |
| Tagline | An OBS plugin for local speech recognition and captioning | Curated resources for Whisper speech recognition system |
| Stars | 1,561 | 2,361 |
| Forks | 120 | 156 |
| Open issues | 55 | 7 |
| Language | C++ | - |
| Adopt for | Obs-localvocal is an OBS plugin enabling real-time speech-to-text transcription and translation using AI models that run locally. | awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. |
| Persona | - | - |
| Runtime | - | - |
| License | GPL-2.0 | CC0-1.0 |
| Categories | Speech & Audio | Speech & Audio |

## Trust and health

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

| | [obs-localvocal](/tools/royshil-obs-localvocal.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Slowing (36%) |
| Days since push | 71d | 134d |
| Open issues (now) | 55 | 7 |
| Full report | [trust report](/tools/royshil-obs-localvocal/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) |

## Decision facts: obs-localvocal

- **Requirements:** The software operates on Windows, Linux (Ubuntu 22.04), and MacOS environments.; Support for translation is included using CTranslate2.
- **Adopt for:** Obs-localvocal is an OBS plugin enabling real-time speech-to-text transcription and translation using AI models that run locally.
- **License detail:** GPL-2.0

## Decision facts: awesome-whisper

- **Adopt for:** awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools.

## Choose when

### Choose obs-localvocal if…

- License: obs-localvocal is GPL-2.0, awesome-whisper is CC0-1.0.
- Requirements: The software operates on Windows, Linux (Ubuntu 22.04), and MacOS environments.; Support for translation is included using CTranslate2..
- Tags unique to obs-localvocal: live-streaming, obs-plugin.
- When you require privacy-first solutions where all processing of audio and data occurs on the local machine without any cloud-based services.

### Choose awesome-whisper if…

- License: awesome-whisper is CC0-1.0, obs-localvocal is GPL-2.0.
- Tags unique to awesome-whisper: artificial-intelligence, gpt, openai.
- When seeking curated information on Whisper variants optimized for various platforms and languages

## When NOT to use obs-localvocal

- If your workflow demands GPU acceleration for better performance, given obs-localvocal focuses primarily on CPU but offers limited GPU support.
- In scenarios where you need to integrate directly with cloud-hosted services or APIs, since this plugin processes everything locally without internet dependency.

## When NOT to use awesome-whisper

- If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem
- In cases where the focus is on using pre-integrated solutions without the need for model customization

## Common questions

### What is the difference between obs-localvocal and awesome-whisper?

obs-localvocal: An OBS plugin for local speech recognition and captioning. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories.

### When should I choose obs-localvocal over awesome-whisper?

Choose obs-localvocal over awesome-whisper when License: obs-localvocal is GPL-2.0, awesome-whisper is CC0-1.0; Requirements: The software operates on Windows, Linux (Ubuntu 22.04), and MacOS environments.; Support for translation is included using CTranslate2.; Tags unique to obs-localvocal: live-streaming, obs-plugin; When you require privacy-first solutions where all processing of audio and data occurs on the local machine without any cloud-based services.

### When should I choose awesome-whisper over obs-localvocal?

Choose awesome-whisper over obs-localvocal when License: awesome-whisper is CC0-1.0, obs-localvocal is GPL-2.0; Tags unique to awesome-whisper: artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages.

### When should I avoid obs-localvocal?

If your workflow demands GPU acceleration for better performance, given obs-localvocal focuses primarily on CPU but offers limited GPU support. In scenarios where you need to integrate directly with cloud-hosted services or APIs, since this plugin processes everything locally without internet dependency.

### When should I avoid awesome-whisper?

If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization

### Is obs-localvocal or awesome-whisper more popular on GitHub?

awesome-whisper has more GitHub stars (2,361 vs 1,561). Stars measure visibility, not whether either tool fits your constraints.

### Are obs-localvocal and awesome-whisper open source?

Yes - both are open-source projects on GitHub (obs-localvocal: GPL-2.0, awesome-whisper: CC0-1.0).

### Where can I find alternatives to obs-localvocal or awesome-whisper?

GraphCanon lists graph-backed alternatives at [obs-localvocal alternatives](/tools/royshil-obs-localvocal/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([obs-localvocal markdown twin](/tools/royshil-obs-localvocal/alternatives.md), [awesome-whisper markdown twin](/tools/sindresorhus-awesome-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/royshil-obs-localvocal-vs-sindresorhus-awesome-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, obs-localvocal or awesome-whisper?

obs-localvocal: Steady. awesome-whisper: Slowing. 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 obs-localvocal and awesome-whisper?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [obs-localvocal trust report](/tools/royshil-obs-localvocal/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=royshil-obs-localvocal`](/api/graphcanon/graph?tool=royshil-obs-localvocal)
- 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/_
