Now in beta — join early access

Annotate
every frame.
Ship faster.

FrameMark is the precision video annotation platform built for ML teams. Collaborate in real-time, assign tasks, and export training-ready datasets.

No credit card neededFree tier availableGDPR compliant
Frame rate
24 fps · 4K
Annotations
342 labels
urban_traffic_001.mp4
Vehicle #001 · 98%
Person #003 · 94%
Labels
Car
Vehicle #001
conf: 0.98
Person
Pedestrian #003
conf: 0.94
Sign
Traffic sign
conf: 0.87
00:12 / 00:35
0x
Faster than manual labeling
0k+
Annotations per hour
0%
Export format compatibility
0ms
Real-time sync latency
Workflow

From upload to
export in minutes

01
Upload your videos
Drop in any video file. FrameMark's background processor extracts frames at your chosen rate using Celery workers — no waiting.
02
Assign & annotate
Invite your team, assign frames to annotators, and watch labels appear in the real-time dashboard as work progresses.
03
Review & export
QA reviewers approve labels. Export your clean, verified dataset in your ML framework's preferred format — training-ready.
KP
MG
SR
Urban Driving v2.1
3 annotators active
65% done
Frames 0–500 annotation
@kafle_k
Frames 501–1000 annotation
@marga.g
Review pass — vehicles
unassigned
COCO JSON export
queued
Overall progress650 / 1000 frames
Editor

An editor your
team will actually use

Fast, focused, and built for high-volume annotation. No bloat — just the tools you need to label faster.

Bounding Box
Polygon
Keypoint
Polyline
Vehicle · 0.98
Person · 0.94
Sign · 0.87
Selection
ClassVehicle
ID#001
Frame288
Bounding Box
x, y112, 87
w × h180 × 96
Confidence
Vehicle0.98
Person0.74
Testimonials

Trusted by ML teams
shipping real models

From solo researchers to enterprise annotation teams — here's what they're saying.

"We annotated 40 hours of dashcam footage in a week. The interpolation tool alone saved us from redrawing boxes on every single frame."

AM
Arjun Mehta
Video Annotation Lead · DriveData Labs

"Finally a platform where my annotators don't burn out. Keyboard shortcuts and frame-skip controls make the workflow actually bearable at scale."

SL
Sophie Laurent
Head of Labeling Ops · VisionCore AI

"We moved from CVAT to FrameMark for the review pipeline. Having a QA pass before export cut our re-training cycles by half."

DO
Daniel Osei
ML Data Engineer · Perceive Systems

"Our team labels surgical video for medical AI. Data never leaving our servers wasn't optional — self-hosting made FrameMark the only viable choice."

YP
Dr. Yuna Park
Computer Vision Researcher · MedVision Institute

"Polygon and keypoint tools on the same timeline as bounding boxes — no switching tools mid-session. It sounds small but it's massive for throughput."

CV
Carlos Vega
Senior Annotator · RoboLabel Co.

"I manage 20 freelance annotators across three time zones. Task assignment and per-frame audit trails mean I always know exactly where a project stands."

AH
Amira Hassan
Annotation Project Manager · FrameOps Global
FAQ

Common questions

Everything you need to know before getting started.

Get started

Ready to ship
better datasets?

Set up your first workspace, invite your team, and start annotating in under 5 minutes. Free to start — no card needed.

Free tier · No credit card · Self-host available