Comparison
whisper-timestamped vs Auto-Synced-Translated-Dubs
Verdict
Pick whisper-timestamped if whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring; pick Auto-Synced-Translated-Dubs if generate translated dubs with aligned audio using subtitles and AI voice services in Python.
Markdown twin · whisper-timestamped alternatives · Auto-Synced-Translated-Dubs alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | whisper-timestamped | Auto-Synced-Translated-Dubs |
|---|---|---|
| Maintenance | Slowing (324d since push) As of 2w · github_public_v1 | Steady (79d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- whisper-timestamped
- Multilingual Automatic Speech Recognition with word-level timestamps and confidence
- Auto-Synced-Translated-Dubs
- Automatically translates and dubs video content using AI voice services
Stars
- whisper-timestamped
- 2.8k
- Auto-Synced-Translated-Dubs
- 1.7k
Forks
- whisper-timestamped
- 212
- Auto-Synced-Translated-Dubs
- 162
Open issues
- whisper-timestamped
- 49
- Auto-Synced-Translated-Dubs
- 26
Language
- whisper-timestamped
- Python
- Auto-Synced-Translated-Dubs
- Python
Adopt for
- whisper-timestamped
- whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring.
- Auto-Synced-Translated-Dubs
- Generate translated dubs with aligned audio using subtitles and AI voice services in Python.
Persona
- whisper-timestamped
- -
- Auto-Synced-Translated-Dubs
- -
Runtime
- whisper-timestamped
- -
- Auto-Synced-Translated-Dubs
- -
License
- whisper-timestamped
- AGPL-3.0
- Auto-Synced-Translated-Dubs
- AGPL-3.0
Last pushed
- whisper-timestamped
- Sep 9, 2025
- Auto-Synced-Translated-Dubs
- May 11, 2026
Categories
- whisper-timestamped
- Speech & Audio
- Auto-Synced-Translated-Dubs
- Speech & Audio
Trust and health
Maintenance
- whisper-timestamped
- Slowing (36%)
- Auto-Synced-Translated-Dubs
- Steady (60%)
Days since push
- whisper-timestamped
- 324d
- Auto-Synced-Translated-Dubs
- 79d
Open issues (now)
- whisper-timestamped
- 49
- Auto-Synced-Translated-Dubs
- 26
Owner type
- whisper-timestamped
- Organization
- Auto-Synced-Translated-Dubs
- User
Full report
- whisper-timestamped
- Trust report
- Auto-Synced-Translated-Dubs
- Trust report
Choose whisper-timestamped if…
- Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models.
- whisper-timestamped ships Docker support for self-hosted deployment.
- When you need precise timestamping for each spoken word in speech recognition output.
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.
Choose Auto-Synced-Translated-Dubs if…
- Tags unique to Auto-Synced-Translated-Dubs: ai, dubbing, subtitles, text-to-speech.
- When you need to automate the dubbing process for videos with existing subtitle files
- More recently updated (last pushed May 11, 2026).
When NOT to use Auto-Synced-Translated-Dubs
- Avoid if ffmpeg installation is prohibited or undesirable in your workflow
- Do not select if real-time dubbing accuracy and lip-sync precision are critical requirements
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (linto-ai/whisper-timestamped) · observed Jul 30, 2026
- GitHub forks (linto-ai/whisper-timestamped) · observed Jul 30, 2026
- Last push (linto-ai/whisper-timestamped) · observed Sep 9, 2025
- License file (AGPL-3.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ThioJoe/Auto-Synced-Translated-Dubs) · observed Jul 29, 2026
- GitHub forks (ThioJoe/Auto-Synced-Translated-Dubs) · observed Jul 29, 2026
- Last push (ThioJoe/Auto-Synced-Translated-Dubs) · observed May 11, 2026
- License file (AGPL-3.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: whisper-timestamped 2.8k · Auto-Synced-Translated-Dubs 1.7k (synced Jul 30, 2026).
Common questions
- What is the difference between whisper-timestamped and Auto-Synced-Translated-Dubs?
- whisper-timestamped: Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Auto-Synced-Translated-Dubs: Automatically translates and dubs video content using AI voice services. See the comparison table for live GitHub stats and shared categories.
- When should I choose whisper-timestamped over Auto-Synced-Translated-Dubs?
- Choose whisper-timestamped over Auto-Synced-Translated-Dubs when Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models; whisper-timestamped ships Docker support for self-hosted deployment; When you need precise timestamping for each spoken word in speech recognition output.
- When should I choose Auto-Synced-Translated-Dubs over whisper-timestamped?
- Choose Auto-Synced-Translated-Dubs over whisper-timestamped when Tags unique to Auto-Synced-Translated-Dubs: ai, dubbing, subtitles, text-to-speech; When you need to automate the dubbing process for videos with existing subtitle files; More recently updated (last pushed May 11, 2026).
- 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.
- When should I avoid Auto-Synced-Translated-Dubs?
- Avoid if ffmpeg installation is prohibited or undesirable in your workflow Do not select if real-time dubbing accuracy and lip-sync precision are critical requirements
- Is whisper-timestamped or Auto-Synced-Translated-Dubs more popular on GitHub?
- whisper-timestamped has more GitHub stars (2,832 vs 1,746). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper-timestamped and Auto-Synced-Translated-Dubs open source?
- Yes - both are open-source projects on GitHub (whisper-timestamped: AGPL-3.0, Auto-Synced-Translated-Dubs: AGPL-3.0).
- Where can I find alternatives to whisper-timestamped or Auto-Synced-Translated-Dubs?
- GraphCanon lists graph-backed alternatives at whisper-timestamped alternatives and Auto-Synced-Translated-Dubs alternatives (whisper-timestamped markdown twin, Auto-Synced-Translated-Dubs 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, whisper-timestamped or Auto-Synced-Translated-Dubs?
- whisper-timestamped: Slowing. Auto-Synced-Translated-Dubs: Steady. 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 whisper-timestamped and Auto-Synced-Translated-Dubs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper-timestamped trust report; Auto-Synced-Translated-Dubs trust report.