Comparison
tensorflow-speech-recognition vs chatterbox-tts-api
Verdict
Pick tensorflow-speech-recognition if tensorflow-speech-recognition is a repository offering speech-to-text functionality powered by sequence-to-sequence neural networks and the TensorFlow deep-learning framework in Python; pick chatterbox-tts-api if chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.
Markdown twin · tensorflow-speech-recognition alternatives · chatterbox-tts-api alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | tensorflow-speech-recognition | chatterbox-tts-api |
|---|---|---|
| Maintenance | Dormant (925d since push) As of 3w · github_public_v1 | Slowing (232d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- tensorflow-speech-recognition
- Speech recognition using TensorFlow deep learning framework
- chatterbox-tts-api
- Local OpenAI-compatible text-to-speech API using Chatterbox
Stars
- tensorflow-speech-recognition
- 2.2k
- chatterbox-tts-api
- 666
Forks
- tensorflow-speech-recognition
- 631
- chatterbox-tts-api
- 152
Open issues
- tensorflow-speech-recognition
- 33
- chatterbox-tts-api
- 16
Language
- tensorflow-speech-recognition
- Python
- chatterbox-tts-api
- Python
Adopt for
- tensorflow-speech-recognition
- tensorflow-speech-recognition is a repository offering speech-to-text functionality powered by sequence-to-sequence neural networks and the TensorFlow deep-learning framework in Python.
- chatterbox-tts-api
- Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech.
Persona
- tensorflow-speech-recognition
- -
- chatterbox-tts-api
- -
Runtime
- tensorflow-speech-recognition
- -
- chatterbox-tts-api
- -
License
- tensorflow-speech-recognition
- Other
- chatterbox-tts-api
- Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly.
Last pushed
- tensorflow-speech-recognition
- Jan 17, 2024
- chatterbox-tts-api
- Dec 23, 2025
Categories
- tensorflow-speech-recognition
- Speech & Audio
- chatterbox-tts-api
- Speech & Audio
Trust and health
Maintenance
- tensorflow-speech-recognition
- Dormant (18%)
- chatterbox-tts-api
- Slowing (36%)
Days since push
- tensorflow-speech-recognition
- 925d
- chatterbox-tts-api
- 232d
Open issues (now)
- tensorflow-speech-recognition
- 33
- chatterbox-tts-api
- 16
OSV dependency advisories
- tensorflow-speech-recognition
- No published findings from this source as of 2026-07-11
- chatterbox-tts-api
- No lockfile (source not queried)
Full report
- tensorflow-speech-recognition
- Trust report
- chatterbox-tts-api
- Trust report
Choose tensorflow-speech-recognition if…
- License: tensorflow-speech-recognition is Other, chatterbox-tts-api is AGPL-3.0.
- Pricing: The repository itself is free and open-source under the 'Other' license, but users should consider potential costs associated with running TensorFlow on their infrastructure..
- Requirements: Min 4 GB RAM; Requires Python environment setup including TensorFlow.
- Tags unique to tensorflow-speech-recognition: deep-learning, neural-network, python, sequence-to-sequence.
- When you need to integrate speech-to-text capabilities leveraging the advanced capabilities of TensorFlow for optimal accuracy
When NOT to use tensorflow-speech-recognition
- If real-time performance is a priority, due to its computational demands from TensorFlow's deep-learning models
- When aiming to use a lightweight model for embedded systems with limited processing power, as it relies heavily on TensorFlow which can be resource-intensive
Choose chatterbox-tts-api if…
- License: chatterbox-tts-api is AGPL-3.0, tensorflow-speech-recognition is Other.
- Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment..
- Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda.
- When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.
When NOT to use chatterbox-tts-api
- If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries.
- For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pannous/tensorflow-speech-recognition) · observed Jul 30, 2026
- GitHub forks (pannous/tensorflow-speech-recognition) · observed Jul 30, 2026
- Last push (pannous/tensorflow-speech-recognition) · observed Jan 17, 2024
- License file (Other) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (travisvn/chatterbox-tts-api) · observed Aug 13, 2026
- GitHub forks (travisvn/chatterbox-tts-api) · observed Aug 13, 2026
- Last push (travisvn/chatterbox-tts-api) · observed Dec 23, 2025
- License file (AGPL-3.0) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: tensorflow-speech-recognition 2.2k · chatterbox-tts-api 666 (synced Jul 30, 2026).
Common questions
- What is the difference between tensorflow-speech-recognition and chatterbox-tts-api?
- tensorflow-speech-recognition: Speech recognition using TensorFlow deep learning framework. chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. See the comparison table for live GitHub stats and shared categories.
- When should I choose tensorflow-speech-recognition over chatterbox-tts-api?
- Choose tensorflow-speech-recognition over chatterbox-tts-api when License: tensorflow-speech-recognition is Other, chatterbox-tts-api is AGPL-3.0; Pricing: The repository itself is free and open-source under the 'Other' license, but users should consider potential costs associated with running TensorFlow on their infrastructure.; Requirements: Min 4 GB RAM; Requires Python environment setup including TensorFlow; Tags unique to tensorflow-speech-recognition: deep-learning, neural-network, python, sequence-to-sequence; When you need to integrate speech-to-text capabilities leveraging the advanced capabilities of TensorFlow for optimal accuracy.
- When should I choose chatterbox-tts-api over tensorflow-speech-recognition?
- Choose chatterbox-tts-api over tensorflow-speech-recognition when License: chatterbox-tts-api is AGPL-3.0, tensorflow-speech-recognition is Other; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda; When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM.
- When should I avoid tensorflow-speech-recognition?
- If real-time performance is a priority, due to its computational demands from TensorFlow's deep-learning models When aiming to use a lightweight model for embedded systems with limited processing power, as it relies heavily on TensorFlow which can be resource-intensive
- When should I avoid chatterbox-tts-api?
- If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers.
- Is tensorflow-speech-recognition or chatterbox-tts-api more popular on GitHub?
- tensorflow-speech-recognition has more GitHub stars (2,173 vs 666). Stars measure visibility, not whether either tool fits your constraints.
- Are tensorflow-speech-recognition and chatterbox-tts-api open source?
- Yes - both are open-source projects on GitHub (tensorflow-speech-recognition: Other, chatterbox-tts-api: AGPL-3.0).
- Where can I find alternatives to tensorflow-speech-recognition or chatterbox-tts-api?
- GraphCanon lists graph-backed alternatives at tensorflow-speech-recognition alternatives and chatterbox-tts-api alternatives (tensorflow-speech-recognition markdown twin, chatterbox-tts-api markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, tensorflow-speech-recognition or chatterbox-tts-api?
- tensorflow-speech-recognition: Dormant. chatterbox-tts-api: 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 tensorflow-speech-recognition and chatterbox-tts-api?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: tensorflow-speech-recognition trust report; chatterbox-tts-api trust report.