Deciphr: Deciphr is an AI platform that transcribes audio and video files and automatically repurposes them into transcripts, show notes, articles, social captions, and video reels. ownscribe: Local-first command-line tool that records, transcribes, and summarizes meetings on macOS entirely on-device, with natural-language search across notes. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Deciphr when podcasters generating show notes, transcripts, chapters, and clips from each episode matters most, and ownscribe when keeping fully on-device transcripts and summaries for privacy-sensitive discussions matters most. Try them side by side on real calls before deciding — needs vary by team.
Deciphr is an AI platform that transcribes audio and video files and automatically repurposes them into transcripts, show notes, articles, social captions, and video reels.
Local-first command-line tool that records, transcribes, and summarizes meetings on macOS entirely on-device, with natural-language search across notes.
Deciphr is an AI content-automation platform that transcribes audio and video—including podcasts, webinars, and meetings—and turns a single upload into a suite of derived content. After processing a recording, it generates a transcript plus assets such as show notes, episode summaries, chapters, quotes, SEO articles, FAQs, newsletters, social captions, audiograms, and video reels. Its built-in editor supports bulk editing, filler-word filtering, and automated speaker identification, letting users add speaker names and clean up text in-app. An AI chat assistant lets you query a transcript, brainstorm ideas, and pull suggestions from the uploaded content, and batch upload can pull from YouTube channels, playlists, or RSS feeds. Deciphr is aimed primarily at podcasters, YouTubers, webinar hosts, B2B marketers, agencies, and content creators whose main need is repurposing long-form recordings into many marketing assets rather than live meeting capture. It offers a free tier alongside paid Hobbyist, Professional, and Enterprise plans, with API access and advanced batch features available on higher tiers.
Best suited for
ownscribe is a local-first meeting transcription and summarization command-line tool that records, transcribes, and summarizes meetings entirely on the user's own machine without sending data to external servers. It is MIT-licensed and actively maintained, with v0.12.0 released in June 2026, and is written primarily in Python with a Swift component for system audio capture. On macOS 14.2 and later it captures system audio through Core Audio, and it transcribes with WhisperX to produce word-level timestamps, with optional speaker diarization via PyAnnote. For summaries it ships with a built-in local model (Phi-4-mini) and can also connect to Ollama or OpenAI-compatible backends, offering multiple templates tailored to meetings, lectures, and brief summaries. A standout feature is its natural-language search: the ask command lets users query across their stored meeting notes to retrieve relevant information. Quality-of-life features include silence-based auto-stop so recordings end cleanly when a meeting goes quiet. Because it is a CLI distributed through GitHub and runs entirely on local hardware, ownscribe targets developers and privacy-focused users who prefer scriptable, terminal-driven workflows over a graphical meeting notetaker while keeping all audio and transcripts on-device. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Deciphr is a free tier with paid upgrades (freemium); ownscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Deciphr | ownscribe |
|---|---|---|
| Core capability | AI transcription of audio and video files, including podcasts, webinars, and meetings | Local-first recording, transcription, and summarization via CLI |
| Standout feature | Automated repurposing into 75+ asset types (show notes, summaries, articles, FAQs, captions, newsletters) | System audio capture on macOS 14.2+ through Core Audio |
| Team usage | Audiogram and video reel generation, plus an AI clip finder for social media | WhisperX transcription with word-level timestamps |
| Integrations | In-app editor with bulk editing, filler-word filtering, and automated speaker identification | Optional speaker diarization via PyAnnote |
| Languages & capture | AI chat assistant to query transcripts and brainstorm content ideas | Local summarization with a built-in Phi-4-mini model, plus Ollama and OpenAI-compatible backends |
| Best-fit workflow | Batch upload from YouTube channels, playlists, or RSS feeds | Natural-language search across meeting notes with the ask command |
Deciphr
Choose Deciphr if you need podcasters generating show notes, transcripts, chapters, and clips from each episode — strengths include turns one recording into many ready-to-use marketing assets, saving significant manual repurposing time.
ownscribe
Choose ownscribe if you need developers capturing and summarizing meetings from the terminal on a mac — strengths include runs entirely on-device with no data sent to external servers.
Deciphr
ownscribe
It depends on your workflow. Deciphr is strong for podcasters generating show notes, transcripts, chapters, and clips from each episode, while ownscribe is strong for developers capturing and summarizing meetings from the terminal on a mac. Both transcribe and summarize meetings.
Deciphr is a free tier with paid upgrades and ownscribe is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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