Describe what you need
"Every white van." "Anyone at the rear door." "When the lights went off."
Video Analysis for investigations
Video evidence review, in minutes instead of shifts.
A canvass brings back hours of CCTV from cameras with wrong clocks, phone screen recordings and interviews. Describe what you're looking for and Docsie returns every matching moment, with its timestamp, frame and exact on-screen text, for an investigator to confirm.
Runs on your own infrastructure, so footage doesn't leave your network. No face recognition, ever.
A screen recording, read as a message log
A real result on a recording generated for testing: 21 messages, word for word, each with its sender and the moment it's on screen.
Footage review
A CCTV canvass, reviewed as one timeline.
Ask once across every camera. Docsie lists each matching moment, reads each camera's own clock where it's burned in, and puts the findings on one timeline, so offsets between cameras show up instead of misleading.
Two clocks per finding
The video timestamp and the camera's own date and time, side by side.
Confirm and export
Open the frame behind each finding, keep what holds up, export the report.
Read the camera's own clock
Shown on public trail-camera footage as a stand-in for CCTV: 25 sightings by species, each with the date and time read off the image and its moment in the video.
Phone screen recordings
From a screen recording to a verbatim message log.
When a phone is screen-recorded instead of extracted, the messages are locked in video. Docsie turns the recording into a log: sender, exact wording, on-screen time and video time for every message. Genuine repeats are kept, and unreadable text is marked [unreadable], never guessed.
Wording kept as shown
Spelling, emoji and punctuation are kept. Nothing is summarized or corrected.
Sender and time on every line
Each message carries who sent it, the time on screen and when it appears in the video.
Frame behind every message
Any line can be checked against the frame it came from. Scroll overlap is merged, not duplicated.
Extract text from video →See the full conversation view
Interviews and body-worn camera
Find the moments, then check them.
Ask where a topic comes up, who said what, or when something happens on screen. Speech and frames are used together, and every answer points to its moment in the recording.
Who said what, and when
Interview transcription with speakers, plus every moment a topic, name or place is mentioned.
What happened on screen
Body-worn and dashcam footage searched for events, vehicles and actions, with the frame for each.
Find moments in video →Ask a follow-up, get the source
"What did Priya say about the BLT-118 belt order, and when will it arrive?" The answer quotes the message and lists the moments it came from.
Product captures from Docsie's test environment, October 2026, on CC BY footage and a recording generated for testing. We never publish case or customer footage.
Who uses it
For every team that has to watch the footage.
Major crimes and detectives
Canvass footage · phone recordings · interviews
Digital evidence units
Triage before detailed analysis · findings reports
Prosecutors and defense teams
Discovery review · timelines · trial preparation
Professional standards
Body-worn camera review against policy
Insurance investigations
Claim and damage video · statements
Corporate security
Site CCTV · incident reviews · loss prevention
Deployment
Pilot it on your own footage, on your own servers.
Deploy Docsie inside your network or on an air-gapped system, and run the pilot on real case footage without sending a frame outside. Originals are never altered, and every edit to a findings report is versioned.
Your infrastructure
Self-hosted on Kubernetes, with single sign-on and role-based access.
Self-hosted Docsie →Findings, not conclusions
AI surfaces candidate moments. An investigator confirms each one before it goes in a report.
No identity matching
Docsie describes what is visible, such as clothing, vehicles and actions. It never does face recognition.
FAQ
Common questions
How does AI speed up a video canvass?
Instead of watching every camera end to end, you describe what you need and review a list of candidate moments, each with its frame. Investigators spend their time confirming findings, not scrubbing.
Can it turn a phone screen recording into a message log?
Yes: sender, exact wording, on-screen time and video time for every message, with repeats kept and unreadable text marked. Whether a log meets a court's requirements is a question for your prosecutor or counsel.
Is this forensic video analysis?
It's review and triage: finding and documenting moments across large amounts of footage. Enhancement and authentication remain the work of your forensic video analysts.
Does it replace our digital evidence management system?
No. It works alongside it, on footage your evidence system already holds, and produces findings reports you can file back.
Can it identify people?
No. It describes what is visible, such as clothing, vehicles and actions. It does not do face recognition or match people to identities.
Where is the footage processed?
Wherever you deploy Docsie: in Docsie's cloud or self-hosted inside your network. Talk to us about your agency's security requirements.
What should an investigator confirm before relying on a finding?
Open the frame behind each finding and check that it shows what the finding says. AI can miss moments or misread low-resolution text, so people confirm every finding.
Video Analysis for investigations
Bring the footage.
Keep the evidence.
Review a canvass, a phone recording or an interview in minutes, with every finding tied to its frame.