Comparison
stt vs LiveCaptions-Translator
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 LiveCaptions-Translator if liveCaptions-Translator is ideal for Windows users seeking direct integration with Windows LiveCaptions for real-time audio-to-text translation.
Markdown twin · stt alternatives · LiveCaptions-Translator alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | stt | LiveCaptions-Translator |
|---|---|---|
| Maintenance | Slowing (189d since push) As of 3w · github_public_v1 | Active (7d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal 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.
- LiveCaptions-Translator
- Lightweight and powerful real-time audio/speech translation tool
Stars
- stt
- 4.7k
- LiveCaptions-Translator
- 3.4k
Forks
- stt
- 493
- LiveCaptions-Translator
- 240
Open issues
- stt
- 100
- LiveCaptions-Translator
- 17
Language
- stt
- Python
- LiveCaptions-Translator
- C#
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.
- LiveCaptions-Translator
- LiveCaptions-Translator is ideal for Windows users seeking direct integration with Windows LiveCaptions for real-time audio-to-text translation.
Persona
- stt
- -
- LiveCaptions-Translator
- -
Runtime
- stt
- -
- LiveCaptions-Translator
- -
License
- stt
- GPL-3.0
- LiveCaptions-Translator
- Apache-2.0
Last pushed
- stt
- Jan 22, 2026
- LiveCaptions-Translator
- Jul 22, 2026
Categories
- stt
- Speech & Audio
- LiveCaptions-Translator
- Speech & Audio
Trust and health
Maintenance
- stt
- Slowing (36%)
- LiveCaptions-Translator
- Active (82%)
Days since push
- stt
- 189d
- LiveCaptions-Translator
- 7d
Open issues (now)
- stt
- 100
- LiveCaptions-Translator
- 17
OSV dependency advisories
- stt
- Published findings
- LiveCaptions-Translator
- No lockfile (source not queried)
Full report
- stt
- Trust report
- LiveCaptions-Translator
- Trust report
Choose stt if…
- stt is primarily Python; LiveCaptions-Translator is C#.
- License: stt is GPL-3.0, LiveCaptions-Translator is Apache-2.0.
- 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 LiveCaptions-Translator if…
- LiveCaptions-Translator is primarily C#; stt is Python.
- License: LiveCaptions-Translator is Apache-2.0, stt is GPL-3.0.
- Tags unique to LiveCaptions-Translator: api, api integration, audio-to-text, real-time.
- You need an integrated solution operating directly on the Windows platform leveraging Windows LiveCaptions technology
When NOT to use LiveCaptions-Translator
- Your application runs exclusively on non-Windows platforms like MacOS or Linux
- The scenario demands highly specialized linguistic capabilities not covered by the general-purpose translations offered here
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 (SakiRinn/LiveCaptions-Translator) · observed Jul 30, 2026
- GitHub forks (SakiRinn/LiveCaptions-Translator) · observed Jul 30, 2026
- Last push (SakiRinn/LiveCaptions-Translator) · observed Jul 22, 2026
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: stt 4.7k · LiveCaptions-Translator 3.4k (synced Jul 30, 2026).
Common questions
- What is the difference between stt and LiveCaptions-Translator?
- stt: A local offline speech-to-text tool for video and audio files.. LiveCaptions-Translator: Lightweight and powerful real-time audio/speech translation tool. See the comparison table for live GitHub stats and shared categories.
- When should I choose stt over LiveCaptions-Translator?
- Choose stt over LiveCaptions-Translator when stt is primarily Python; LiveCaptions-Translator is C#; License: stt is GPL-3.0, LiveCaptions-Translator is Apache-2.0; 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 LiveCaptions-Translator over stt?
- Choose LiveCaptions-Translator over stt when LiveCaptions-Translator is primarily C#; stt is Python; License: LiveCaptions-Translator is Apache-2.0, stt is GPL-3.0; Tags unique to LiveCaptions-Translator: api, api integration, audio-to-text, real-time; You need an integrated solution operating directly on the Windows platform leveraging Windows LiveCaptions technology.
- 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 LiveCaptions-Translator?
- Your application runs exclusively on non-Windows platforms like MacOS or Linux The scenario demands highly specialized linguistic capabilities not covered by the general-purpose translations offered here
- Is stt or LiveCaptions-Translator more popular on GitHub?
- stt has more GitHub stars (4,712 vs 3,415). Stars measure visibility, not whether either tool fits your constraints.
- Are stt and LiveCaptions-Translator open source?
- Yes - both are open-source projects on GitHub (stt: GPL-3.0, LiveCaptions-Translator: Apache-2.0).
- Where can I find alternatives to stt or LiveCaptions-Translator?
- GraphCanon lists graph-backed alternatives at stt alternatives and LiveCaptions-Translator alternatives (stt markdown twin, LiveCaptions-Translator 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 LiveCaptions-Translator?
- stt: Slowing. LiveCaptions-Translator: 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 LiveCaptions-Translator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stt trust report; LiveCaptions-Translator trust report.