Veryfi Lens
Veryfi, Inc. · Image · Coding
Veryfi Lens is a document capture SDK from Veryfi that puts an AI camera inside mobile and web apps. It finds documents, reads fields on the phone, works offline and filters bad shots.

About Veryfi Lens
What Is Veryfi Lens
Veryfi Lens is a compiled capture framework with its own camera screen that you embed in an app. It works as a receipt capture SDK first, and the same engine handles invoices, checks and cards. The audience is teams building expense, accounting, lending or field service software, where users photograph paper and expect the numbers to show up in a system without retyping.
The problem it solves is image quality. A phone camera handles a portrait fine; a white receipt on a white tablecloth, shot at an angle under mixed light, is a different job. Lens runs a trained model on the device that detects the document itself rather than guessing at its edges, straightens the perspective, flags glare and blur, then pulls key fields with on-device OCR. Users retry on the spot, before a paid extraction call fires.
Lens isn't a consumer app. Free demo builds for iPhone and Android exist so you can test capture quality, but production use is licensed to businesses and priced per deal. The payoff arrives after integration, not on day one.
Getting Started
- Request a demo and copy your client ID, username and API key from the Veryfi Hub.
- Add the native framework: Swift Package Manager or CocoaPods on iOS, the Gradle artifact on Android. For web, embed the browser build with plain HTML.
- Configure
VeryfiLensSettingswith a JSON object covering document types, torch behavior, multi-document capture and your own branding. - Call show camera and handle the delegate callbacks for close, error, success and update events.
- Forward accepted captures to Veryfi's extraction service, or keep them on the handset if local OCR is all you need.
Product Information
A quick look at Veryfi Lens's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Mobile developers at expense and accounting startups
- Product teams in fintech and lending
- Field crews in construction, logistics and utilities
- Platform teams with an existing OCR pipeline
Tasks
- Snapping a receipt at the register
- Logging a long itemized bill
- Reading a credit card during signup
- Clearing an accounts payable backlog
Scenarios
- Sales reps collecting receipts across a week of travel
- A web onboarding flow that can't ask users to install anything
- Auditors working in warehouses or archives
Key features
On-Device Document Detection
Lens looks for the document, not the strongest edge in frame. That distinction matters when a receipt sits on a white table or a page curls against a busy desk, and it's the reason the framework was built in the first place. Detection runs locally on the neural engine, so it works the same in a bright office and a dim stockroom.
On-Device OCR and Field Checks
Before any network call, the SDK reads fields that matter to your workflow, such as totals, dates and merchant names, and tells the user when something is missing. You can reject a capture on the phone, which keeps low-quality images out of your paid queue and makes casual abuse of the scanner harder.
Offline Capture
Capture keeps working with no connection. Documents queue on the device, get processed when the network returns, and the user can bin the paper right away. For delivery drivers, insurance adjusters and anyone working in buildings with dead zones, this is the difference between a usable tool and a support ticket.
Burst and Multi-Document Capture
A single frame can hold up to four documents, and a hands-free mode keeps capturing while the phone is held over a stack. Restaurant bills photographed side by side, or a folder of invoices spread on a desk, land in one pass. The time saving compounds for teams that process hundreds of documents a day.
Long Receipt Stitching
Long receipts get their own capture mode. The user sweeps the camera down the paper and Lens joins the frames into one tall image with the line items intact. Grocery runs and itemized hardware bills stop turning into a guessing game about what was bought.
Integrity and Fraud Checks
Blur, warp and manipulation checks run during capture, and Veryfi reports 99.7% accuracy across 47 fraud indicators when Lens is paired with its fraud detection suite. The checks add a few hundred milliseconds at most, according to Veryfi, and they block altered or reprinted documents before they enter your records.
Pros and cons
Pros
- Native performance on both platforms, with a headless option when you want your own camera UI instead of the bundled one.
- On-device OCR filters bad captures early, which saves both API spend and support time.
- Offline document capture and long receipt stitching cover the messy cases that generic camera code fails.
- Wrappers for React Native, Flutter, Cordova, Ionic and Xamarin keep cross-platform teams from rewriting the camera layer.
- Veryfi publishes SOC 2 Type II status, and its extraction APIs cover 38 languages and 91 currencies.
Cons
- Veryfi Lens pricing isn't public. You have to talk to sales, which slows down budgeting and makes comparison shopping awkward.
- There's no self-serve trial beyond the demo apps, so you can't test integration in your own codebase before a contract.
- The SDK is a black box: capture settings are tuned through a JSON config, not by swapping in your own detection model.
- Lens handles capture only. Getting structured data out still means paying for the document capture API or building your own extraction.
Frequently asked questions
It captures financial documents inside another app: receipts, invoices, checks, business cards and credit cards. The SDK handles framing, lighting and quality checks, then hands clean images or on-device field data to your workflow.
Related content
Explore related tools, skills, and articles for Veryfi Lens.
Veryfi Lens Alternatives
Google EmbeddingGemma 2
Google DeepMind · Writing · Image · CodingGoogle EmbeddingGemma 2 is a 740M-parameter open model that turns text, code, images, audio, and video frames into vectors in one 768-dimension space, running on phones and laptops.
Tractionwave
TractionWave · Image · MarketingTractionWave is an AI attention heatmap tool for static ads. Upload a PNG or JPG and it returns predicted attention, ranked hotspots, and fixes before you spend budget.
Imejis.io
Imejis.io · Image · MarketingImejis.io is an AI design studio for agents and marketing teams. Describe an image in plain words, and it writes the copy, builds the layout, reflows it to every size, then exports a finished file.
