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  "title": "Vibe",
  "description": "Open-source, fully-offline transcription desktop app (MIT, Rust) built on OpenAI's Whisper models: transcribe audio and video locally in 90+ languages, detect speakers, translate, and capture your microphone or system audio, with no account and no data leaving the machine. Exports SRT, VTT, TXT, DOCX, PDF and JSON for subtitle and content workflows. Runs on macOS, Windows and Linux, GPU-accelerated when available.",
  "category": "content-copywriting",
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  "date_published": "2026-09-15T00:00:00Z",
  "date_modified": "2026-09-15T00:00:00Z",
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    "name": "github · thewh1teagle/vibe",
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  "license": "MIT",
  "one_liner": "Vibe transcribes audio and video fully offline with Whisper, in 90+ languages, and exports SRT/VTT subtitles with no account and no cloud.",
  "open_source": "yes",
  "self_hostable": "yes",
  "pricing_model": "free",
  "who_its_for": "Content and demand-gen teams turning webinars, podcasts and demo videos into subtitles, transcripts and repurposable text, on their own machine and without a per-minute transcription bill.",
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    "note": "MIT license, Rust, fully-offline Whisper transcription, and SRT/VTT/TXT/DOCX/PDF exports confirmed on the repo (WebFetch 2026-09-15, ~7.4k stars, 1,917 commits). 90+ language support and system/mic capture are from the project docs. Surfaced via a viral post framing it as an open-source Whisper-workflow alternative; the underlying engine is OpenAI's open Whisper models running locally, not a from-scratch model."
  },
  "caveats": "Vibe is a local front-end over Whisper models, so transcription quality and speed track the model size you pick and your hardware (GPU helps a lot). Speaker detection and translation are best-effort, not court-grade. An optional cloud path exists for hard audio; the default and the point is fully local.",
  "lead": "Open-source, fully-offline transcription desktop app (MIT, Rust) built on OpenAI's Whisper models: transcribe audio and video locally in 90+ languages, detect speakers, translate, and capture your microphone or system audio, with no account and no data leaving the machine. Exports SRT, VTT, TXT, DOCX, PDF and JSON for subtitle and…",
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      "est_tokens": 105,
      "text": "Open-source, fully-offline transcription desktop app (MIT, Rust) built on OpenAI's Whisper models: transcribe audio and video locally in 90+ languages, detect speakers, translate, and capture your microphone or system audio, with no account and no data leaving the machine. Exports SRT, VTT, TXT, DOCX, PDF and JSON for subtitle and content workflows. Runs on macOS, Windows and Linux, GPU-accelerated when available."
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      "text": "models: transcribe audio and video locally in 90+ languages, detect speakers, translate, and capture your microphone or system audio, with no account and no data leaving the machine. Exports SRT, VTT, TXT, DOCX, PDF and JSON for subtitle and content workflows. Runs on macOS, Windows and Linux, GPU-accelerated when available.\n\n- MIT license, Rust, fully-offline Whisper transcription, and the SRT/VTT/TXT/DOCX/PDF export set independently WebFetch-verified on the repo 2026-09-15 (github.com/thewh1teagle/vibe, ~7.4k stars, 1,917 commits). Language range and audio-capture details are from the project docs.\n- Surfaced via the 2026-09-15 viral-posts brief (\"open-source alternative to OpenAI's Whisper transcription workflow, runs locally\").\n- Curated from the GTM Stacker signal registry (2026-09-15 pass: daily pull + viral-posts brief); license independently verified 2026-09-15."
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      "text": "(github.com/thewh1teagle/vibe, ~7.4k stars, 1,917 commits). Language range and audio-capture details are from the project docs. - Surfaced via the 2026-09-15 viral-posts brief (\"open-source alternative to OpenAI's Whisper transcription workflow, runs locally\"). - Curated from the GTM Stacker signal registry (2026-09-15 pass: daily pull + viral-posts brief); license independently verified 2026-09-15.\n\nTranscription is the quiet first step in content repurposing, and it is usually a metered SaaS line item. Vibe makes it a local build step: drop in the webinar, the podcast or the demo recording, and get a clean transcript plus SRT and VTT subtitles you own, at no marginal cost. It pairs naturally with the rest of the open content stack in this registry (clip it with OpenShorts, narrate with VoiceStudio or Voicebox), and it keeps recordings that may contain customer names or deal detail on your own machine. The honest part: it is a front-end over Whisper, so quality and speed depend on the model and the hardware, and speaker labels and translation are good-enough, not authoritative."
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