Comparison
openwhispr vs Whisperboard
Verdict
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; 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 · openwhispr alternatives · Whisperboard alternatives
GraphCanon updated Sep 20, 2026
6views this month
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Trust & integrity
| Signal | openwhispr | Whisperboard |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 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 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- openwhispr
- Voice-to-text dictation app with local and cloud models
- Whisperboard
- An open-source iOS app for accessible quality voice transcription on mobile devices.
Stars
- openwhispr
- 8.4k
- Whisperboard
- 1.1k
Forks
- openwhispr
- 1.0k
- Whisperboard
- 116
Open issues
- openwhispr
- 339
- Whisperboard
- 24
Language
- openwhispr
- JavaScript
- Whisperboard
- Swift
Adopt for
- 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.
- Whisperboard
- Whisperboard is an iOS app that leverages open-source technology to provide top-notch voice transcription services directly on mobile devices.
Persona
- openwhispr
- -
- Whisperboard
- -
Runtime
- openwhispr
- -
- Whisperboard
- -
License
- openwhispr
- MIT
- Whisperboard
- GPL-3.0
Last pushed
- openwhispr
- Sep 19, 2026
- Whisperboard
- Dec 18, 2025
Categories
- openwhispr
- Speech & Audio
- Whisperboard
- Speech & Audio
Trust and health
Maintenance
- openwhispr
- Very active (96%)
- Whisperboard
- Slowing (36%)
Days since push
- openwhispr
- 0d
- Whisperboard
- 276d
Open issues (now)
- openwhispr
- 339
- Whisperboard
- 24
Stars delta
- openwhispr
- +3.4k (30d)
- Whisperboard
- +15 (30d)
Open issues delta
- openwhispr
- +87 (30d)
- Whisperboard
- 0 (30d)
Owner type
- openwhispr
- Organization
- Whisperboard
- User
Full report
- openwhispr
- Trust report
- Whisperboard
- Trust report
Choose openwhispr if…
- openwhispr is primarily JavaScript; Whisperboard is Swift.
- License: openwhispr is MIT, Whisperboard 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.
Choose Whisperboard if…
- Whisperboard is primarily Swift; openwhispr is JavaScript.
- License: Whisperboard is GPL-3.0, openwhispr 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 (OpenWhispr/openwhispr) · observed Sep 20, 2026
- GitHub forks (OpenWhispr/openwhispr) · observed Sep 20, 2026
- Last push (OpenWhispr/openwhispr) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: openwhispr 8.4k · Whisperboard 1.1k (synced Sep 20, 2026).
Common questions
- What is the difference between openwhispr and Whisperboard?
- openwhispr: Voice-to-text dictation app with local and cloud models. 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 openwhispr over Whisperboard?
- Choose openwhispr over Whisperboard when openwhispr is primarily JavaScript; Whisperboard is Swift; License: openwhispr is MIT, Whisperboard 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 choose Whisperboard over openwhispr?
- Choose Whisperboard over openwhispr when Whisperboard is primarily Swift; openwhispr is JavaScript; License: Whisperboard is GPL-3.0, openwhispr 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 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.
- 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 openwhispr or Whisperboard more popular on GitHub?
- openwhispr has more GitHub stars (8,381 vs 1,102). Stars measure visibility, not whether either tool fits your constraints.
- Are openwhispr and Whisperboard open source?
- Yes - both are open-source projects on GitHub (openwhispr: MIT, Whisperboard: GPL-3.0).
- Where can I find alternatives to openwhispr or Whisperboard?
- GraphCanon lists graph-backed alternatives at openwhispr alternatives and Whisperboard alternatives (openwhispr 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, openwhispr or Whisperboard?
- openwhispr: Very 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 openwhispr and Whisperboard?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openwhispr trust report; Whisperboard trust report.