Comparison
whisper vs Whisperboard
Verdict
Pick whisper if whisper is a speech recognition model that uses large-scale weak supervision to transcribe audio to text with high accuracy; pick Whisperboard if whisperboard is an iOS app that leverages open-source technology to provide top-notch voice transcription services directly on mobile devices.
Markdown twin · whisper alternatives · Whisperboard alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | whisper | Whisperboard |
|---|---|---|
| Maintenance | Active (17d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (276d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- Robust Speech Recognition via Large-Scale Weak Supervision
- Whisperboard
- An open-source iOS app for accessible quality voice transcription on mobile devices.
Stars
- whisper
- 109k
- Whisperboard
- 1.1k
Forks
- whisper
- 13k
- Whisperboard
- 116
Open issues
- whisper
- 149
- Whisperboard
- 24
Language
- whisper
- Python
- Whisperboard
- Swift
Adopt for
- whisper
- Whisper is a speech recognition model that uses large-scale weak supervision to transcribe audio to text with high accuracy.
- Whisperboard
- Whisperboard is an iOS app that leverages open-source technology to provide top-notch voice transcription services directly on mobile devices.
Persona
- whisper
- -
- Whisperboard
- -
Runtime
- whisper
- -
- Whisperboard
- -
License
- whisper
- Whisper is released under the MIT License, allowing for broad use and modification.
- Whisperboard
- GPL-3.0
Last pushed
- whisper
- Aug 31, 2026
- Whisperboard
- Dec 18, 2025
Categories
- whisper
- Speech & Audio
- Whisperboard
- Speech & Audio
Trust and health
Maintenance
- whisper
- Active (82%)
- Whisperboard
- Slowing (36%)
Days since push
- whisper
- 17d
- Whisperboard
- 276d
Open issues (now)
- whisper
- 149
- Whisperboard
- 24
Stars delta
- whisper
- +2.6k (30d)
- Whisperboard
- +15 (30d)
Open issues delta
- whisper
- +14 (30d)
- Whisperboard
- 0 (30d)
Owner type
- whisper
- Organization
- Whisperboard
- User
OSV dependency advisories
- whisper
- No published findings from this source as of 2026-09-18
- Whisperboard
- No lockfile (source not queried)
Full report
- whisper
- Trust report
- Whisperboard
- Trust report
Choose whisper if…
- whisper is primarily Python; Whisperboard is Swift.
- License: whisper is MIT, Whisperboard is GPL-3.0.
- Requirements: Whisper requires Python and specific dependencies for running the model..
- Tags unique to whisper: audio transcription, mit license, python, weak supervision.
- When you need a tool that leverages large-scale weak supervision for robust speech recognition.
When NOT to use whisper
- If your project requires real-time speech recognition, as Whisper may not be optimized for low-latency applications.
- When you need a tool that supports a wide range of languages beyond those covered by Whisper's model.
Choose Whisperboard if…
- Whisperboard is primarily Swift; whisper is Python.
- License: Whisperboard is GPL-3.0, whisper is MIT.
- Tags unique to Whisperboard: audio-to-text, composable-architecture, ios, openai.
- When you require precise and reliable speech-to-text functionality on iOS devices, as Whisperboard specifically targets quality in its transcription process across these platforms.
When NOT to use Whisperboard
- Avoid if you need compatibility with Android devices as Whisperboard focuses solely on iOS functionality and user experience.
- Consider other options if the project demands real-time transcription capabilities that go beyond Whisperboard's current scope in its implementation and feature set.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (openai/whisper) · observed Sep 20, 2026
- GitHub forks (openai/whisper) · observed Sep 20, 2026
- Last push (openai/whisper) · observed Aug 31, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Saik0s/Whisperboard) · observed Sep 20, 2026
- GitHub forks (Saik0s/Whisperboard) · observed Sep 20, 2026
- Last push (Saik0s/Whisperboard) · observed Dec 18, 2025
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: whisper 109k · Whisperboard 1.1k (synced Sep 20, 2026).
Common questions
- What is the difference between whisper and Whisperboard?
- whisper: Robust Speech Recognition via Large-Scale Weak Supervision. Whisperboard: An open-source iOS app for accessible quality voice transcription on mobile devices.. See the comparison table for live GitHub stats and shared categories.
- When should I choose whisper over Whisperboard?
- Choose whisper over Whisperboard when whisper is primarily Python; Whisperboard is Swift; License: whisper is MIT, Whisperboard is GPL-3.0; Requirements: Whisper requires Python and specific dependencies for running the model.; Tags unique to whisper: audio transcription, mit license, python, weak supervision; When you need a tool that leverages large-scale weak supervision for robust speech recognition.
- When should I choose Whisperboard over whisper?
- Choose Whisperboard over whisper when Whisperboard is primarily Swift; whisper is Python; License: Whisperboard is GPL-3.0, whisper is MIT; Tags unique to Whisperboard: audio-to-text, composable-architecture, ios, openai; When you require precise and reliable speech-to-text functionality on iOS devices, as Whisperboard specifically targets quality in its transcription process across these platforms.
- When should I avoid whisper?
- If your project requires real-time speech recognition, as Whisper may not be optimized for low-latency applications. When you need a tool that supports a wide range of languages beyond those covered by Whisper's model.
- When should I avoid Whisperboard?
- Avoid if you need compatibility with Android devices as Whisperboard focuses solely on iOS functionality and user experience. Consider other options if the project demands real-time transcription capabilities that go beyond Whisperboard's current scope in its implementation and feature set.
- Is whisper or Whisperboard more popular on GitHub?
- whisper has more GitHub stars (109,313 vs 1,102). Stars measure visibility, not whether either tool fits your constraints.
- Are whisper and Whisperboard open source?
- Yes - both are open-source projects on GitHub (whisper: MIT, Whisperboard: GPL-3.0).
- Where can I find alternatives to whisper or Whisperboard?
- GraphCanon lists graph-backed alternatives at whisper alternatives and Whisperboard alternatives (whisper markdown twin, Whisperboard 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 or Whisperboard?
- whisper: Active. Whisperboard: 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 whisper and Whisperboard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whisper trust report; Whisperboard trust report.