Edit Mind
AI video knowledge base that makes your footage searchable with local-first, frame-accurate search.
Edit Mind solves a real pain for video editors drowning in footage, with impressive local-first multi-modal search. The pre-order Desktop App promises a seamless workflow, but you'll wait until Q3 2026. For now, the free Docker version is solid if you're tech-savvy.
- Video editors with large libraries needing instant clip retrieval
- Content creators managing terabytes of raw footage
- Filmmakers who want on-premise search for NDA-protected content
- Open-source enthusiasts comfortable with Docker self-hosting
- Users seeking cloud-based collaboration with team review tools
- Beginners who cannot handle Docker or command-line setup
- Teams needing multi-user access and permissions
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In short
Edit Mind — AI video knowledge base that makes your footage searchable with local-first, frame-accurate search. Best for Video editors with large libraries needing instant clip retrieval, Content creators managing terabytes of raw footage, Filmmakers who want on-premise search for NDA-protected content. Free to start; paid plans from $199/mo.
What independent users actually report about Edit Mind
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
76 mentions across 5 sources (Hacker News, YouTube, Bluesky, GitHub, Lemmy).
- +Local-first design means zero data ever leaves your machine.
- +Multi-modal search across speech, faces, objects, and text.
- +Semantic natural language queries find exact frames instantly.
- +One-time $199 pre-order with no subscription fees.
- +Active founder engaging with community on GitHub and HN.
- −Docker setup is complex and time-consuming for non-developers.
- −H.265 video codec not supported; analyzer hangs on these files.
- −GPU acceleration often doesn't work via Docker/WSL.
- −Pre-built Docker images missing for some platforms (linux/amd64).
- −Desktop app delayed to Q3 2026; current version is rough.
- • You need your own GPU, storage, and technical know-how for Docker setup
- • No subscription but no guaranteed free updates beyond current version
Viability Score
How likely is Edit Mind to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Audio transcription via Whisper with timecodes
- Object detection via YOLO in video frames
- Face recognition with DeepFace across footage
- On-screen text reading (OCR)
- Natural language semantic search
- Frame-accurate jump to search results
- Multi-modal vector indexing (text, visual, audio)
- Local on-device database, zero data leaves machine
- Docker container for self-hosting
- Clip and ZIP download from search results
- Export clips to editing timeline (Desktop App)
- Index footage from local folders
- Supports common video formats (MP4, MOV, MXF)
- Editor Companion AI learns your editing style (Desktop App)
- Auto-suggests B-roll and drafts rough cuts (Desktop App)
About Edit Mind
Edit Mind is a local-first video knowledge base that indexes your video library using multi-modal AI analysis. It transcribes audio with Whisper, detects objects with YOLO, recognizes faces with DeepFace, and reads on-screen text. All data stays on your machine—zero bytes leave. After indexing, you can search semantically via natural language queries like '@ilias talking about AI' and jump to the exact frame. The tool is aimed at video editors, content creators, and filmmakers who have terabytes of footage and struggle to find specific moments. It saves hours of manual scrubbing by making every spoken word, object, face, and scene description searchable. The workflow is simple: transcribe audio, analyze frames, save data locally. Then search by describing the moment you need. Edit Mind offers two ways to use it: a free self-hosted Docker version for users comfortable with the command line, and a paid Desktop App ($199 pre-order) for a more seamless experience—search once and send clips straight to your editing timeline. The desktop app is optimized for Apple Silicon and Windows with NVIDIA GPU support, ships Q3 2026, and comes with a 30-day refund guarantee. What makes Edit Mind different is its strict local-first design. No cloud upload, no privacy concerns, and no recurring subscription—the pre-order is a lifetime license. It's backed by Founders Inc (Canopy Program 2026) and open-source on GitHub. Unlike cloud-based alternatives, Edit Mind keeps sensitive footage secure and offline.
Behind the Verdict
Edit Mind hits a sweet spot for anyone with terabytes of video who can't find anything. The self-hosted Docker version is free and remarkably capable—Whisper transcription, YOLO object detection, DeepFace recognition, and OCR all running locally. We'd reach for this when you need to locate that one clip of 'Ilias talking about AI' across years of raw footage. The natural language search works well, and being frame-accurate is a game-changer for editing. Where it bites: the Docker setup is not for the faint of heart. If you're not comfortable with command lines, you'll want to wait for the Desktop App. And that wait is real—it ships Q3 2026. The pre-order price ($199) is a one-time lifetime license, which is fair, but you're paying for a future product. After launch, new pricing moves to a monthly subscription, so pre-ordering locks in the lower cost. Compared to cloud alternatives like Runway or Frame.io, Edit Mind wins on privacy and no subscription fees. But those tools offer collaboration, real-time review, and polished UIs. Edit Mind is strictly local and single-user right now. In practice, the self-hosted version works well on a machine with decent GPU (NVIDIA or Apple Silicon). Indexing is resource-intensive but happens once. The lack of integration with immich or Ente means you manage ingested files separately. Still, for its core job—finding moments across thousands of clips—Edit Mind delivers.
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Use Cases
- Find every shot where a specific person appears across years of raw footage.
- Search for a specific line of dialogue spoken in any video using semantic search.
- Locate all scenes containing a particular object, like a car or a dog.
- Retrieve clips with on-screen text, such as titles or signs, using OCR.
- Compile all moments where someone is excitedly describing a topic.
- Send matched clips directly to your video editor timeline with one click.
Models Under the Hood
Limitations
- Edit Mind's self-hosted version requires Docker and some technical know-how.
- The Desktop App is not yet released (expected Q3 2026).
- There is no cloud sync or multi-user support.
- The free version lacks the seamless timeline integration of the paid app.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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