---
title: "Chatterbox-TTS-Server vs whisper-timestamped"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/devnen-chatterbox-tts-server-vs-linto-ai-whisper-timestamped"
tools: ["devnen-chatterbox-tts-server", "linto-ai-whisper-timestamped"]
---

# Chatterbox-TTS-Server vs whisper-timestamped

*GraphCanon updated Jul 30, 2026*

## Verdict

Pick Chatterbox-TTS-Server if chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU; pick whisper-timestamped if whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring.

[Chatterbox-TTS-Server](https://colab.research.google.com/github/devnen/Chatterbox-TTS-Server/blob/main/Chatterbox_TTS_Colab_Demo.ipynb) reports 1.4k GitHub stars, 333 forks, and 45 open issues, last pushed May 26, 2026. [whisper-timestamped](https://github.com/linto-ai/whisper-timestamped) has 2.8k stars, 212 forks, and 49 open issues, last pushed Sep 9, 2025. Figures are from public GitHub metadata via [Chatterbox-TTS-Server's repository](https://github.com/devnen/Chatterbox-TTS-Server) and [whisper-timestamped's repository](https://github.com/linto-ai/whisper-timestamped).

| | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) |
| --- | --- | --- |
| Tagline | Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints | Multilingual Automatic Speech Recognition with word-level timestamps and confidence |
| Stars | 1,379 | 2,832 |
| Forks | 333 | 212 |
| Open issues | 45 | 49 |
| Language | Python | Python |
| Adopt for | Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. | whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT License, open-source with permissive terms for modification and distribution. | AGPL-3.0 |
| Categories | Speech & Audio | Speech & Audio |

## Trust and health

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

| | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Slowing (36%) |
| Days since push | 64d | 324d |
| Open issues (now) | 45 | 49 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/devnen-chatterbox-tts-server/trust.md) | [trust report](/tools/linto-ai-whisper-timestamped/trust.md) |

## Shared compatibility

- **Python**: [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) - Python runtime; [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) - Python runtime

## Decision facts: Chatterbox-TTS-Server

- **Requirements:** Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.
- **Adopt for:** Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU.
- **License detail:** MIT License, open-source with permissive terms for modification and distribution.

## 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.

## Choose when

### Choose Chatterbox-TTS-Server if…

- License: Chatterbox-TTS-Server is MIT, whisper-timestamped is AGPL-3.0.
- Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements..
- Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox.
- You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning.

### Choose whisper-timestamped if…

- License: whisper-timestamped is AGPL-3.0, Chatterbox-TTS-Server is MIT.
- Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models.
- When you need precise timestamping for each spoken word in speech recognition output.

## When NOT to use Chatterbox-TTS-Server

- When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10).
- If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups.
- For projects requiring minimal dependencies without manual handling of installation intricacies.

## 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.

## Common questions

### What is the difference between Chatterbox-TTS-Server and whisper-timestamped?

Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. whisper-timestamped: Multilingual Automatic Speech Recognition with word-level timestamps and confidence. See the comparison table for live GitHub stats and shared categories.

### When should I choose Chatterbox-TTS-Server over whisper-timestamped?

Choose Chatterbox-TTS-Server over whisper-timestamped when License: Chatterbox-TTS-Server is MIT, whisper-timestamped is AGPL-3.0; Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.; Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox; You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning.

### When should I choose whisper-timestamped over Chatterbox-TTS-Server?

Choose whisper-timestamped over Chatterbox-TTS-Server when License: whisper-timestamped is AGPL-3.0, Chatterbox-TTS-Server is MIT; Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models; When you need precise timestamping for each spoken word in speech recognition output.

### When should I avoid Chatterbox-TTS-Server?

When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10). If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups. For projects requiring minimal dependencies without manual handling of installation intricacies.

### 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.

### Is Chatterbox-TTS-Server or whisper-timestamped more popular on GitHub?

whisper-timestamped has more GitHub stars (2,832 vs 1,379). Stars measure visibility, not whether either tool fits your constraints.

### Are Chatterbox-TTS-Server and whisper-timestamped open source?

Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, whisper-timestamped: AGPL-3.0).

### Where can I find alternatives to Chatterbox-TTS-Server or whisper-timestamped?

GraphCanon lists graph-backed alternatives at [Chatterbox-TTS-Server alternatives](/tools/devnen-chatterbox-tts-server/alternatives) and [whisper-timestamped alternatives](/tools/linto-ai-whisper-timestamped/alternatives) ([Chatterbox-TTS-Server markdown twin](/tools/devnen-chatterbox-tts-server/alternatives.md), [whisper-timestamped markdown twin](/tools/linto-ai-whisper-timestamped/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/devnen-chatterbox-tts-server-vs-linto-ai-whisper-timestamped.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Chatterbox-TTS-Server or whisper-timestamped?

Chatterbox-TTS-Server: Steady. whisper-timestamped: 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 Chatterbox-TTS-Server and whisper-timestamped?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Chatterbox-TTS-Server trust report](/tools/devnen-chatterbox-tts-server/trust); [whisper-timestamped trust report](/tools/linto-ai-whisper-timestamped/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=devnen-chatterbox-tts-server`](/api/graphcanon/graph?tool=devnen-chatterbox-tts-server)
- 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/_
