Identify documents on the client side with local machine learning. If that sounds complex, don’t worry, Onymos DocID was designed to keep it simple.
Catch invalid document types on the client side. It’s not just good UX — it’s another layer of protection for your users’ sensitive data.
DocID uses machine learning on the client side to identify documents. That means faster document identification and zero data exposure.
Just because your engineers can do everything, doesn’t mean they should. Training machine learning models can be tedious and time-consuming — that’s why Onymos engineers do it for you.
Whether it’s a PNG, JPEG, TIFF, PDF, or even a multi-page document, DocID can accept and analyze it.
Onymos Features are always better together. Use DocID alongside DocEnhance to support our powerful OCR Feature, DocKnow, to ensure even more accurate results.
The simplest, fastest way to add document verification to your app.
Pass an image to DocID’s “analyze” function and get results. It’s that simple.
Unlike plugins or code snippets, each Onymos Feature is full stack, from the user interface to the cloud layer.
Onymos supports the Feature at every stage. Updates are as simple as rebuilding with our newest object release.
OnymosDocID.analyze(
modelID,
image,
(results) => {
/* ------
results = {
modelID,
documentName,
confidenceThresh,
confidenceLevel,
isDocument,
processTime
};
------ */
},
(error) => {
console.log(error);
}
);N/A
Every Onymos Feature comes fully functional — from the front-end user interface to back-end cloud connectivity. Just integrate and use.
Onymos Features connect directly to your cloud, not an interim server, helping speed up app performance.
Innovate confidently with Onymos Features that are built on open standards like HTML, CSS, and JS, as well as Java/Kotlin (Android) and Swift (iOS).
Download our free white paper today to learn how Onymos Features can maximize the value of your developer resources — and shave days or weeks off your development timeline.