VisionRepo
Transparent Pricing

Simple plans for every
scale of operation

All plans include a monthly credit allowance. Credits power every AI action — pay only for what you use.

Monthly
Yearly
Save 17%
Explorer

Perfect for getting started

$0
⚡ 500 monthly credits

+ top-ups available

Includes
  • Basic image annotation tools
  • Upload pre-annotated files
  • Basic search & filters
  • Image filters
  • Data management (clone, split, move)
  • Limited analytics
  • Standard support
Plan limits
  • 1 user
  • 1 project · 1 repository
  • Up to 2 GB storage
⭐ Most Popular
Builder

For growing teams and projects

$49/month
⚡ 3,000 monthly credits

+ top-ups available

Everything in Explorer, Plus:
  • Unlimited projects & repositories
  • AI-assisted labeling (SAM) — credits
  • Auto-labeling (custom engine) — credits
  • Advanced filters & search
  • Annotation task management
  • Data tagging & metadata
  • Export repositories and annotations
Plan limits
  • Up to 3 users
  • Unlimited projects & repositories
  • Up to 20 GB storage
  • Up to 30 GB download quota
Teams

For collaborative workflows

$199/month
⚡ 10,000 monthly credits

+ top-ups available

Everything in Builder, Plus:
  • Labeling collaboration (multi-user)
  • Video annotation & extraction — credits
  • Video object tracking — credits
  • Video keypoints — credits
  • Full API integration — credits
Plan limits
  • Up to 7 users
  • 100 GB storage
  • 300 GB export quota

How credits work

Credits are your AI fuel. Every label you create and every API call you make consumes one credit.

Object Labels

Each annotation label you apply to an object — bounding box, polygon, segmentation mask — deducts 1 credit.

Label 500 objects
500 credits

API Inference Calls

Each call to run inference on an image or video frame through the API deducts 1 credit.

Run 1,000 inferences
1,000 credits

Auto-Labeling

Building a custom labeling engine has two credit costs: a flat fee when training starts, then per-object processing.

Start training
-200 credits
Per object processed
~1 credit
ActionCredits used
Annotation
Object label (bounding box, polygon, segmentation, keypoint)
1
Video frame label / object tracking annotation
1
AI‑assisted label (SAM auto‑segment)
1
Auto‑label — training start (custom labeling engine)
200
Auto‑label — dataset processing (per object)
1
API
Inference API call
1
Training API call
1
Free Usage (Zero credits consumed)
Upload images / pre‑annotated files
Free
Search, filter, clone, split datasets
Free
Export annotations & files (Pascal VOC, COCO, YOLO, CSV, etc.)
Free
Review, QA, and issue reporting
Free
Credits reset monthly and do not roll over. Unused credits expire at the end of each billing cycle. Need more? You can purchase top-up credit packs at any time from your dashboard — they're valid for 12 months from purchase date.

Credits FAQ

Everything you need to know about how credits work across your plan.

What exactly is a credit?

Does every annotation deduct a credit?

How are Auto-labeling credits calculated?

How do API credits work?

Do credits roll over to the next month?

What happens when I run out of credits?

How much do top-up credit packs cost?

Can I track my credit usage?

Are credits shared across team members?

Is the Explorer (free) plan's 500 credits really enough?

Do rejected AI suggestions still cost credits?

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