Everything you need to know about Deepgrip.

Deepgrip is a video intelligence platform that turns a video archive into a searchable, queryable system. It ingests large video files, transcribes and embeds every word, and lets users search across the archive, chat with grounded answers, and generate publication-ready clips — all from one source of truth.

No. Deepgrip is an AI video intelligence platform built by Dootlabs Private Limited in Hyderabad, India. Deepgram is a separate company that provides a speech-to-text API. The names are similar but the products and companies are unrelated. Deepgrip turns large video archives into searchable, citable, reusable assets; Deepgram offers an ASR API used inside other products.

Deepgrip is built by Dootlabs Private Limited, a software company headquartered in Hyderabad, India. The company was founded in 2026. The canonical entity is Wikidata Q139889436 for the Deepgrip product and Q139889446 for Dootlabs Private Limited.

Deepgrip is built specifically for institutional video archives — broadcasters, sports rightsholders, faith organisations, universities, podcasters, and publishers. It is distinct from clipping tools like OpusClip, video editors like Descript, video hosts like Mux or Wistia, and from speech-to-text APIs like Deepgram or AssemblyAI. Deepgrip’s focus is making decades of footage retrievable with citation-backed answers, recaps, and query-driven highlight reels.

Video intelligence is the practice of making video archives searchable, queryable, and actionable using AI. It combines transcription, semantic embeddings, and large language models so teams can find moments, ask questions, and generate content from any video they own.

Yes. Deepgrip indexes every video in your workspace and returns moments across the entire archive in a single query. There is no per-video search wall — semantic search runs over the full index.

Processing time depends on the length of the file and the current load. After upload, Deepgrip transcribes, indexes and prepares clip suggestions automatically. We show real timings on your own files in the demo.

Up to 8 GB per file, with chunked resumable uploads. Ask us if you need more. Total archive size is set by your contract, not by per-file limits.

Yes. Deepgrip indexes footage on a NAS through its on-premise agent. You can also import a video from a YouTube link, or from a Google Drive, Dropbox or OneDrive share link.

Deepgrip transcribes the audio into time-coded segments, embeds each segment as a vector, and indexes those vectors for similarity search. A query like "what did the CEO say about pricing" returns the exact moments where the answer appears, with timestamps that link back to the source video.

Deepgrip scores moments using the transcript and audio, proposes start and end times and a title, and exports the clip in vertical, square or landscape format.

Every chat answer includes citations to the exact timestamp and transcript segment it came from. Click a citation and the player jumps to that moment. The chat never invents content the videos do not contain.

Deepgrip transcribes video in 23 Indian languages alongside English. Coverage includes Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam, Gujarati, Punjabi, Odia, Assamese, Urdu and other languages from the Eighth Schedule of the Indian Constitution. Mixed-language speech such as Hindi and English is handled. Translation into additional languages is available as a separate feature for subtitles and accessibility.

The system clusters speakers within a video and lets the user assign canonical names. Once named, the same speaker is recognized across future videos in the workspace.

Vertical 9:16 (Reels, TikTok, Shorts), square 1:1 (Instagram feed), and landscape 16:9 (YouTube). Captions are burned in or exported as SRT or VTT.

Not primarily. Deepgrip is the intelligence layer that produces clips, recaps and reels in your platform’s preferred aspect ratios with burned-in captions. Your team decides what to produce and publish, usually through your existing CMS, MAM or social workflow.

Workspace data is isolated per organization with role-based access controls and a full audit trail. SOC 2 Type II is in progress. Single sign-on is available on Enterprise plans, and on-premise deployment is available.

Deepgrip is sold as an annual enterprise contract, sized to the hours you index each month, the number of users and the languages you work in. Every deployment starts with a free demo on your own footage, then a paid 14-day proof of concept for $4,999, with $2,500 credited to year one if you sign within 15 days of it ending.