Video review has long been a grind: scrub through hours of footage to find a few seconds that matter. Docsie’s new tool aims to change that calculus by treating video as a visual document, not just a spoken transcript.
New AI video analyzer reads frames and audio together to find moments, read on-screen text and count events, linking every finding to its frame for review.
Every finding comes back with its time and its frame, so the reviewer checks the evidence instead of taking the AI's word for it.”— Philippe Trounev, CEO of Docsie
Docsie today unveiled Video Analysis, an AI video analyzer that answers questions about footage by examining both frames and audio together. Teams can upload a screen recording, a CCTV or dashcam export, a phone video, or a training video, describe what they are searching for, and receive every matching moment with its timestamp, the associated frame, and any exact on-screen text. Full product details and use cases are available at https://www.docsie.io/video-analysis/.
The limitation of most AI video tools is that they rely solely on transcripts, which means anything visible but unspoken goes unnoticed—an error dialog in a screen recording, a forklift blocking a corridor, a message in a chat thread, or the date burned into a camera’s image. Manually reviewing such footage means endlessly scrubbing through hours of video to locate a handful of critical moments.
Docsie Video Analysis examines the footage itself. Users can type a question in their own words or select from preset options: find moments, read on-screen text and messages, count objects or events, extract a clean still per step, check for safety hazards, or measure motion and timing. Each finding is displayed with its time code, a link to the frame it originated from, and plays that exact moment of the video when clicked.
"People reviewing footage don't need a summary of the video. They need to know when something happened and to see it for themselves," said Philippe Trounev, CEO of Docsie. "Every finding comes back with its time and its frame, so the reviewer checks the evidence instead of taking the AI's word for it."
Published example results on the hub demonstrate the breadth of questions the engine can handle, all using openly licensed footage or recordings made for testing:
– Every instance of a Windows error code in a 6:57 screen recording, including what the narrator says each time it appears.
– Each safety hazard in a 2:56 workplace training video, from a dim stairway to a forklift blocking a passage, grouped by hazard type.
– A 21-message chat thread recovered word for word from a screen recording, with the sender of each message identified.
– 25 wildlife sightings in an 11:49 trail-camera video, counted by species, each with the date and time read directly off the image.
– One still per mission phase from a NASA Artemis II animation, and the telemetry overlay of an underwater ROV video transcribed into a table.
After analysis, results can be exported as PDF, DOCX, or CSV, refined through further chat, or probed with additional questions; the assistant's answers quote the findings and list their sources. When footage demonstrates how a task is performed, Docsie's Video to Docs feature converts it into a step-by-step guide complete with screenshots.
Video Analysis supports videos up to 40 minutes and 2 GB per file, either uploaded directly or linked. It operates in Docsie's cloud or on an organization's own infrastructure with self-hosted Docsie. Use cases highlighted on the hub include investigations and evidence review, manufacturing time studies and safety review, inspection footage, and sports technique and movement observation. Docsie Video Analysis does not perform face recognition or identity matching, and AI can miss moments or misread low-resolution text, which is precisely why every finding links to its frame for human verification.
Try Docsie Video Analysis or browse example results at https://www.docsie.io/video-analysis/.
About Docsie
Docsie is an AI-powered knowledge and documentation platform that assists organizations in creating, managing, reviewing, and delivering technical documentation and enterprise knowledge. Its workflows encompass video-to-documentation, video analysis, knowledge bases, content comparison, training, enterprise publishing, and private deployment options. Visit https://www.docsie.io/.
Philippe Trounev
Docsie Inc.
+1 416-902-8771
Why it matters: As video evidence becomes central to investigations, safety audits, and operational reviews, tools that bridge the gap between raw footage and searchable insight could redefine how teams verify events. By anchoring AI findings to specific frames, Docsie addresses a core trust issue in automated analysis—forcing the tool to show its work rather than ask reviewers to accept its conclusions.
