For the whole team
Run Faster, Smoother and Scale Automation
On-Device
Discover More
Check out the Datadog × Captur case study
Bad photos breaking trust? We fix that
We validate images in real time. You focus on growth instead. Meet Captur, the first AI photo trust layer for enterprise that runs on-device
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Powering growth for mobile-first enterprises
Solution
Verify images in real-time, offline
Policy-as-Code
We turn written policy documents into dynamic code you can easily integrate into any mobile app with our SDKs
On-Device Guardrails
We run real-time AI models on device to validate images in sub~200ms, without requiring a strong connection
Instant User Feedback
We provide configurations for you to control the copy and UI for giving instant feedback to users on-the-spot
Structured Output
We send back the data in a structured JSON to trigger your existing downstream workflows
How fast is it? Try it yourself
Captur runs on-device, not in the cloud. No lag, no weak signals—just real-time intelligence that works where you need it.
01
Make sure you are testing in the right enviornment, grab a delivery package and place it at a realistic dropoff place, such as an apartment door
02
Click or tap Get started on your device, enable camera access
03
Point camera to the package and drop off location, see how captur sends you image feedback in real-time!
04
If you want to explore more, configure your feedback display and photo scaning method by clicking Customise experience
Try on mobile
The Fastest Growing Solution For Real-World Deployment
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Models
across delivery, micromobility, image quality, and many more
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Users
We are probably already in your pocket
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Devices
including both Android and iOS devices
“We were able to replace our entire outsourced manual photo reviews with Captur's Al. Our ultimate goal is 0% contact and 100% customer satisfaction.”
Randy
Head of Rider Success at Dott
“The ROI was immediate and measurable. We integrated Captur's SDK in four weeks and saw DNR claims drop 30% in week one. Captur proved you can have both higher quality and faster throughput. Which frankly, most 'AI solutions' in logistics can't deliver on.”
Heindrik
CTO and Co-Founder, GoBolt
For Developers
Works on-device in milliseconds
Handles low signal, no problem
Easily integrates with all mobile apps
Provides complete flexibility
For Product Owners
Easy to integrate within one sprint
Replace PDFs and user education with live guidance
No on-going dev resource required
Provides complete adaptability to your UI
For Operational Teams
Built to adapt to your internal rules
Automates all compliance reporting
Say goodbye to manual reviews
Provides complete visibility to your data
Captur Runs Securely On-Device
Talk Data
Privacy Protected
Your data stays private — images are processed without leaving the device.
On-Device Compute
AI models run locally, keeping performance fast and information secure.
GDPR
Fully compliant
SOC 2
Type 2 Compliant
Latest News
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Captur scales SDK quality and customer trust with Datadog RUM and Workflow Automation
Captur keeps clients on top of crashes by detecting issues instantly and surfacing only the most relevant information, powered by seamless monitoring Datadog tools. Problems are resolved in seconds rather than hours, delivering reliable crash monitoring that builds client confidence and keeps operations running smoothly.
How Captur AI & Machine Learning are Powering Faster, Smarter Logistics at GoBolt
With Captur’s AI and machine learning, GoBolt is transforming logistics—optimizing routes, streamlining warehouse operations, and improving delivery accuracy in real time. By leveraging advanced computer vision and predictive analytics, we’re making logistics faster, smarter, and more efficient than ever before.
How Captur pioneers LiveAI computer vision at scale with the help of Weights & Biases
“For our model training, having all the metrics in one place in W&B and comparing runs easily is so useful. Making sure we can do fire-and-forget and see all the metrics coming in has been super helpful. We’re tracking all the loss functions, evaluation metrics like precision, recall, and of course GPU usage metrics as well.”
