Available worldwide
What is Whisper?
An automatic speech recognition model trained on 680,000 hours of multilingual audio data that transcribes and translates speech with high accuracy. It is designed to handle diverse accents, background noise, and technical language across multiple languages with transcription in original languages or translation to English.
Whisper pricing
We don't have Whisper's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
Whisper alternatives
Other transcription we track, ranked by the same independent score.
- SonixAI platform that converts recorded speech into searchable, editable text with automatic speaker identificationmedium · 55%
- Happy ScribeSpeech-to-text and meeting transcription system supporting 150+ languages with optional human accuracymedium · 56%
- NottaAutomated meeting transcription and documentation that converts recordings into transcripts, summaries, and presentation materialslow · 13%
- RevPlatform that transcribes multimedia evidence into searchable records with AI analysis for legal and investigative teams.medium · 62%
- ScribieProfessional transcription powered by verified human experts at competitive per-minute rateslow · 34%
- AmberscriptSecure, high-accuracy transcription and subtitling for European businesseslow · 45%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Whisper, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Release cadence | 96 | 0.05 | 5.0 | ✓ |
| Dependent projects | 55 | 0.06 | 3.5 | ✓ |
| Stars | 95 | 0.03 | 2.5 | ✓ |
| Security score | 42 | 0.04 | 1.8 | ✓ |
| Development activity | 15 | 0.09 | 1.4 | ✓ |
| Capabilities | 0 | 0.08 | 0.0 | - |
| Integrations | 0 | 0.07 | 0.0 | - |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 2 | mediumsource · 2026-08-26 · 65% |
Adoption
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-08-26 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-20 · 75% |