Comparison
stt vs openwhispr
Verdict
Pick stt if stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats; pick openwhispr if openWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility.
Markdown twin · stt alternatives · openwhispr alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | stt | openwhispr |
|---|---|---|
| Maintenance | Slowing (189d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- stt
- A local offline speech-to-text tool for video and audio files.
- openwhispr
- Voice-to-text dictation app with local and cloud models
Stars
- stt
- 4.7k
- openwhispr
- 5.0k
Forks
- stt
- 493
- openwhispr
- 715
Open issues
- stt
- 100
- openwhispr
- 252
Language
- stt
- Python
- openwhispr
- JavaScript
Adopt for
- stt
- stt is a Python-based local offline speech-to-text tool that uses fast-whipser for converting audio from video and audio files into text, including JSON, SRT subtitles, or plain text formats.
- openwhispr
- OpenWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility.
Persona
- stt
- -
- openwhispr
- -
Runtime
- stt
- -
- openwhispr
- -
License
- stt
- GPL-3.0
- openwhispr
- MIT
Last pushed
- stt
- Jan 22, 2026
- openwhispr
- Jul 30, 2026
Categories
- stt
- Speech & Audio
- openwhispr
- Speech & Audio
Trust and health
Maintenance
- stt
- Slowing (36%)
- openwhispr
- Very active (96%)
Days since push
- stt
- 189d
- openwhispr
- 0d
Open issues (now)
- stt
- 100
- openwhispr
- 252
Owner type
- stt
- User
- openwhispr
- Organization
OSV dependency advisories
- stt
- Published findings
- openwhispr
- No lockfile (source not queried)
Full report
- stt
- Trust report
- openwhispr
- Trust report
Choose stt if…
- stt is primarily Python; openwhispr is JavaScript.
- License: stt is GPL-3.0, openwhispr is MIT.
- Tags unique to stt: audio-processing, fast-whisper, local-processing, offline.
- Use stt if you require an offline, locally-run solution where internet dependence is not acceptable.
When NOT to use stt
- Avoid using stt if your application relies on continuous updates and service improvements that are only available via web services.
- Do not use stt in environments where CUDA acceleration cannot be supported, as it will limit processing speed without the GPU acceleration advantage.
Choose openwhispr if…
- openwhispr is primarily JavaScript; stt is Python.
- License: openwhispr is MIT, stt is GPL-3.0.
- Requirements: Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations..
- Tags unique to openwhispr: ai, anthropic, cross-platform, gemini.
- When you require the use of Nvidia Parakeet/Whisper models for high accuracy in a local environment without internet dependency.
When NOT to use openwhispr
- When you have limited computational power on your device and rely heavily on cloud resources for processing voice-to-text without the overhead of managing local machine learning models.
- If your application must work on platforms that are not supported by OpenWhispr, such as mobile devices or specialized operating systems.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jianchang512/stt) · observed Jul 30, 2026
- GitHub forks (jianchang512/stt) · observed Jul 30, 2026
- Last push (jianchang512/stt) · observed Jan 22, 2026
- License file (GPL-3.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OpenWhispr/openwhispr) · observed Jul 30, 2026
- GitHub forks (OpenWhispr/openwhispr) · observed Jul 30, 2026
- Last push (OpenWhispr/openwhispr) · observed Jul 30, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: stt 4.7k · openwhispr 5.0k (synced Jul 30, 2026).
Common questions
- What is the difference between stt and openwhispr?
- stt: A local offline speech-to-text tool for video and audio files.. openwhispr: Voice-to-text dictation app with local and cloud models. See the comparison table for live GitHub stats and shared categories.
- When should I choose stt over openwhispr?
- Choose stt over openwhispr when stt is primarily Python; openwhispr is JavaScript; License: stt is GPL-3.0, openwhispr is MIT; Tags unique to stt: audio-processing, fast-whisper, local-processing, offline; Use stt if you require an offline, locally-run solution where internet dependence is not acceptable.
- When should I choose openwhispr over stt?
- Choose openwhispr over stt when openwhispr is primarily JavaScript; stt is Python; License: openwhispr is MIT, stt is GPL-3.0; Requirements: Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations.; Tags unique to openwhispr: ai, anthropic, cross-platform, gemini; When you require the use of Nvidia Parakeet/Whisper models for high accuracy in a local environment without internet dependency.
- When should I avoid stt?
- Avoid using stt if your application relies on continuous updates and service improvements that are only available via web services. Do not use stt in environments where CUDA acceleration cannot be supported, as it will limit processing speed without the GPU acceleration advantage.
- When should I avoid openwhispr?
- When you have limited computational power on your device and rely heavily on cloud resources for processing voice-to-text without the overhead of managing local machine learning models. If your application must work on platforms that are not supported by OpenWhispr, such as mobile devices or specialized operating systems.
- Is stt or openwhispr more popular on GitHub?
- openwhispr has more GitHub stars (5,018 vs 4,712). Stars measure visibility, not whether either tool fits your constraints.
- Are stt and openwhispr open source?
- Yes - both are open-source projects on GitHub (stt: GPL-3.0, openwhispr: MIT).
- Where can I find alternatives to stt or openwhispr?
- GraphCanon lists graph-backed alternatives at stt alternatives and openwhispr alternatives (stt markdown twin, openwhispr 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, stt or openwhispr?
- stt: Slowing. openwhispr: Very active. 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 stt and openwhispr?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stt trust report; openwhispr trust report.