---
title: "whisper-timestamped vs Auto-Synced-Translated-Dubs"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/linto-ai-whisper-timestamped-vs-thiojoe-auto-synced-translated-dubs"
tools: ["linto-ai-whisper-timestamped", "thiojoe-auto-synced-translated-dubs"]
---

# whisper-timestamped vs Auto-Synced-Translated-Dubs

*GraphCanon updated Jul 30, 2026*

## Verdict

Pick whisper-timestamped if whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring; pick Auto-Synced-Translated-Dubs if generate translated dubs with aligned audio using subtitles and AI voice services in Python.

[whisper-timestamped](https://github.com/linto-ai/whisper-timestamped) reports 2.8k GitHub stars, 212 forks, and 49 open issues, last pushed Sep 9, 2025. [Auto-Synced-Translated-Dubs](https://github.com/ThioJoe/Auto-Synced-Translated-Dubs) has 1.7k stars, 162 forks, and 26 open issues, last pushed May 11, 2026. Figures are from public GitHub metadata via [whisper-timestamped's repository](https://github.com/linto-ai/whisper-timestamped) and [Auto-Synced-Translated-Dubs's repository](https://github.com/ThioJoe/Auto-Synced-Translated-Dubs).

| | [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) | [Auto-Synced-Translated-Dubs](/tools/thiojoe-auto-synced-translated-dubs.md) |
| --- | --- | --- |
| Tagline | Multilingual Automatic Speech Recognition with word-level timestamps and confidence | Automatically translates and dubs video content using AI voice services |
| Stars | 2,832 | 1,746 |
| Forks | 212 | 162 |
| Open issues | 49 | 26 |
| Language | Python | Python |
| Adopt for | whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring. | Generate translated dubs with aligned audio using subtitles and AI voice services in Python. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | AGPL-3.0 |
| Categories | Speech & Audio | Speech & Audio |

## Trust and health

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

| | [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) | [Auto-Synced-Translated-Dubs](/tools/thiojoe-auto-synced-translated-dubs.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Steady (60%) |
| Days since push | 324d | 79d |
| Open issues (now) | 49 | 26 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/linto-ai-whisper-timestamped/trust.md) | [trust report](/tools/thiojoe-auto-synced-translated-dubs/trust.md) |

## Decision facts: whisper-timestamped

- **Adopt for:** whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring.

## Decision facts: Auto-Synced-Translated-Dubs

- **Adopt for:** Generate translated dubs with aligned audio using subtitles and AI voice services in Python.

## Choose when

### Choose whisper-timestamped if…

- Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models.
- whisper-timestamped ships Docker support for self-hosted deployment.
- When you need precise timestamping for each spoken word in speech recognition output.

### Choose Auto-Synced-Translated-Dubs if…

- Tags unique to Auto-Synced-Translated-Dubs: ai, dubbing, subtitles, text-to-speech.
- When you need to automate the dubbing process for videos with existing subtitle files
- More recently updated (last pushed May 11, 2026).

## When NOT to use whisper-timestamped

- Avoid if your project requires minimal dependencies or a smaller footprint, as it includes several external libraries like matplotlib and transformers.
- Not suitable for real-time applications where low latency is crucial due to the additional overhead of timestamp generation and confidence scoring.

## When NOT to use Auto-Synced-Translated-Dubs

- Avoid if ffmpeg installation is prohibited or undesirable in your workflow
- Do not select if real-time dubbing accuracy and lip-sync precision are critical requirements

## Common questions

### What is the difference between whisper-timestamped and Auto-Synced-Translated-Dubs?

whisper-timestamped: Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Auto-Synced-Translated-Dubs: Automatically translates and dubs video content using AI voice services. See the comparison table for live GitHub stats and shared categories.

### When should I choose whisper-timestamped over Auto-Synced-Translated-Dubs?

Choose whisper-timestamped over Auto-Synced-Translated-Dubs when Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models; whisper-timestamped ships Docker support for self-hosted deployment; When you need precise timestamping for each spoken word in speech recognition output.

### When should I choose Auto-Synced-Translated-Dubs over whisper-timestamped?

Choose Auto-Synced-Translated-Dubs over whisper-timestamped when Tags unique to Auto-Synced-Translated-Dubs: ai, dubbing, subtitles, text-to-speech; When you need to automate the dubbing process for videos with existing subtitle files; More recently updated (last pushed May 11, 2026).

### When should I avoid whisper-timestamped?

Avoid if your project requires minimal dependencies or a smaller footprint, as it includes several external libraries like matplotlib and transformers. Not suitable for real-time applications where low latency is crucial due to the additional overhead of timestamp generation and confidence scoring.

### When should I avoid Auto-Synced-Translated-Dubs?

Avoid if ffmpeg installation is prohibited or undesirable in your workflow Do not select if real-time dubbing accuracy and lip-sync precision are critical requirements

### Is whisper-timestamped or Auto-Synced-Translated-Dubs more popular on GitHub?

whisper-timestamped has more GitHub stars (2,832 vs 1,746). Stars measure visibility, not whether either tool fits your constraints.

### Are whisper-timestamped and Auto-Synced-Translated-Dubs open source?

Yes - both are open-source projects on GitHub (whisper-timestamped: AGPL-3.0, Auto-Synced-Translated-Dubs: AGPL-3.0).

### Where can I find alternatives to whisper-timestamped or Auto-Synced-Translated-Dubs?

GraphCanon lists graph-backed alternatives at [whisper-timestamped alternatives](/tools/linto-ai-whisper-timestamped/alternatives) and [Auto-Synced-Translated-Dubs alternatives](/tools/thiojoe-auto-synced-translated-dubs/alternatives) ([whisper-timestamped markdown twin](/tools/linto-ai-whisper-timestamped/alternatives.md), [Auto-Synced-Translated-Dubs markdown twin](/tools/thiojoe-auto-synced-translated-dubs/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/linto-ai-whisper-timestamped-vs-thiojoe-auto-synced-translated-dubs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, whisper-timestamped or Auto-Synced-Translated-Dubs?

whisper-timestamped: Slowing. Auto-Synced-Translated-Dubs: 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 whisper-timestamped and Auto-Synced-Translated-Dubs?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whisper-timestamped trust report](/tools/linto-ai-whisper-timestamped/trust); [Auto-Synced-Translated-Dubs trust report](/tools/thiojoe-auto-synced-translated-dubs/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=linto-ai-whisper-timestamped`](/api/graphcanon/graph?tool=linto-ai-whisper-timestamped)
- 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/_
