---
title: "TTS vs TensorFlowASR"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/coqui-ai-tts-vs-tensorspeech-tensorflowasr"
tools: ["coqui-ai-tts", "tensorspeech-tensorflowasr"]
---

# TTS vs TensorFlowASR

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick TTS when license: TTS is MPL-2.0, TensorFlowASR is Apache-2.0; pick TensorFlowASR when license: TensorFlowASR is Apache-2.0, TTS is MPL-2.0.

[TTS](http://coqui.ai) reports 46k GitHub stars, 6.2k forks, and 4 open issues, last pushed Aug 16, 2024. [TensorFlowASR](https://huylenguyen.com/asr) has 1.0k stars, 239 forks, and 47 open issues, last pushed Jun 11, 2025. Figures are from public GitHub metadata via [TTS's repository](https://github.com/coqui-ai/TTS) and [TensorFlowASR's repository](https://github.com/TensorSpeech/TensorFlowASR).

| | [TTS](/tools/coqui-ai-tts.md) | [TensorFlowASR](/tools/tensorspeech-tensorflowasr.md) |
| --- | --- | --- |
| Tagline | 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production | :zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords |
| Stars | 45,737 | 1,009 |
| Forks | 6,152 | 239 |
| Open issues | 4 | 47 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MPL-2.0 | Apache-2.0 |
| Categories | Inference & Serving, Model Training, Speech & Audio | Model Training, Speech & Audio |

## Trust and health

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

| | [TTS](/tools/coqui-ai-tts.md) | [TensorFlowASR](/tools/tensorspeech-tensorflowasr.md) |
| --- | --- | --- |
| Days since push | 693d | 394d |
| Open issues (now) | 4 | 47 |
| Security scan | 137 low (137 low) | 15 low (15 low) |
| Full report | [trust report](/tools/coqui-ai-tts/trust.md) | [trust report](/tools/tensorspeech-tensorflowasr/trust.md) |

## Shared compatibility

- **Python**: [TTS](/tools/coqui-ai-tts.md) - Python runtime; [TensorFlowASR](/tools/tensorspeech-tensorflowasr.md) - Python runtime

## Choose when

### Choose TTS if…

- License: TTS is MPL-2.0, TensorFlowASR is Apache-2.0.
- Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan.
- Also covers Inference & Serving.

### Choose TensorFlowASR if…

- License: TensorFlowASR is Apache-2.0, TTS is MPL-2.0.
- Tags unique to TensorFlowASR: automatic-speech-recognition, conformer, contextnet, ctc.
- More recently updated (last pushed Jun 11, 2025).

## When NOT to use TTS

- Last GitHub push was 695 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## When NOT to use TensorFlowASR

- Last GitHub push was 395 days ago (dormant maintenance, Jun 11, 2025). Validate activity before betting a new project on TensorFlowASR.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## Common questions

### What is the difference between TTS and TensorFlowASR?

TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. TensorFlowASR: :zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords. See the comparison table for live GitHub stats and shared categories.

### When should I choose TTS over TensorFlowASR?

Choose TTS over TensorFlowASR when License: TTS is MPL-2.0, TensorFlowASR is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Inference & Serving.

### When should I choose TensorFlowASR over TTS?

Choose TensorFlowASR over TTS when License: TensorFlowASR is Apache-2.0, TTS is MPL-2.0; Tags unique to TensorFlowASR: automatic-speech-recognition, conformer, contextnet, ctc; More recently updated (last pushed Jun 11, 2025).

### When should I avoid TTS?

Last GitHub push was 695 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### When should I avoid TensorFlowASR?

Last GitHub push was 395 days ago (dormant maintenance, Jun 11, 2025). Validate activity before betting a new project on TensorFlowASR. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### Is TTS or TensorFlowASR more popular on GitHub?

TTS has more GitHub stars (45,737 vs 1,009). Stars measure visibility, not whether either tool fits your constraints.

### Are TTS and TensorFlowASR open source?

Yes - both are open-source projects on GitHub (TTS: MPL-2.0, TensorFlowASR: Apache-2.0).

### Where can I find alternatives to TTS or TensorFlowASR?

GraphCanon lists graph-backed alternatives at [TTS alternatives](/tools/coqui-ai-tts/alternatives) and [TensorFlowASR alternatives](/tools/tensorspeech-tensorflowasr/alternatives) ([TTS markdown twin](/tools/coqui-ai-tts/alternatives.md), [TensorFlowASR markdown twin](/tools/tensorspeech-tensorflowasr/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/coqui-ai-tts-vs-tensorspeech-tensorflowasr.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, TTS or TensorFlowASR?

TTS: Dormant. TensorFlowASR: Dormant. 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 TTS and TensorFlowASR?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TTS trust report](/tools/coqui-ai-tts/trust); [TensorFlowASR trust report](/tools/tensorspeech-tensorflowasr/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=coqui-ai-tts`](/api/graphcanon/graph?tool=coqui-ai-tts)
- 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/_
