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OpenWhispr review

Freemium#5 of 25 in Podcast Transcription SoftwareAI Voice Dictation SoftwareMeeting Recording Software

A privacy-focused transcription workspace with local processing, editing, search, and podcast integrations.

8.9/10Editor score
OpenWhispr8.9 Visit OpenWhispr

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

OpenWhispr is open-source voice-to-text and audio transcription software for podcasters, creators, teams, and anyone who needs searchable transcripts or spoken notes. It imports common audio-file formats, supports local offline processing, and can also use optional cloud transcription. The workspace includes transcript editing, speaker detection and labels, searchable storage, custom terminology, exports to TXT, SRT, and JSON, plus AI summaries, action items, and structured notes. It is especially well suited to podcasters who want local workflows while retaining access to cloud processing and mobile apps.

The pricing structure starts with a free plan that includes unlimited local AI models, 2,000 words of cloud transcription per week, five hours of meeting recordings per month, 100+ languages, a custom dictionary, and community support. Pro is listed at $6.67 per user per month or $80 per user per year with annual billing. It adds unlimited cloud transcription, Agent mode, 20 hours of meeting recordings per month, device sync, personal API access, and iPhone and iPad apps. Business is listed at $13.33 per user per month or $160 per user per year with annual billing, adding unlimited meeting recordings, chat over your data, basic team and workflow use, and priority support. Enterprise adds administration, SSO, SAML, SCIM, audit logs, retention controls, and dedicated support.

OpenWhispr has a broad platform and integration footprint for a transcription product. It runs on macOS, Windows, Linux, and iOS, offers an API, and connects with Notion, Buzzsprout, Transistor, Spotify for Creators, Substack, YouTube Studio, MCP, OpenAI, Anthropic, Gemini, and Groq. Podcasters who prioritize offline transcription, searchable archives, speaker labels, and caption exports should find the feature mix well aligned. Teams needing more advanced collaboration may prefer a platform centered on deeper workflow management, while users needing cloud transcription on the free plan should account for its weekly limit.

OpenWhispr pros and cons

  • Where it wins
    • Unlimited local AI transcription with offline processing
    • Searchable transcripts, editing, speaker labels, and exports
    • Runs across macOS, Windows, Linux, iOS, and API
  • Where it doesn't
    • Free cloud transcription is limited to 2,000 words per week
    • Paid plans use annual billing
    • Business offers basic team and workflow features

OpenWhispr fact sheet, pricing and score →

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