Through advanced deep learning technology, it can rapidly and precisely detect and identify different types of forms, pictures, documents, certificates, face sheets, and other common situations. It supports a total of 52 languages, including Simplified Chinese, Traditional Chinese, English, Digital, Western European mainstream languages, Eastern European mainstream languages, and more. Additionally, it can process printed, handwritten, tilted, collapsed, and rotated forms with equal ease.

General Text

Provide high concurrency and high reliability of the API, will be converted to PDF documents to Word. converted documents as far as possible to maintain the original format of PDF, to enhance the readability.

PDF to Word

Image layout restoration, restore the image to a doc file, retain the layout format of the document in the photo at the same time, extract the text in the image, including form images, handwritten text, and support for stamps to extract separately, to achieve the extraction of stamps, separation and restoration and other functions.

Image to Word

Intelligent judgment of the edges of the main document in the photo to cut the edge, while enhancing the image to highlight the text, support the recognition of complex text content in the background, return to the image after cutting the edge.

Content Extract & Optimize

Detecting image integrity (large occlusions, the presence of missing corners and edges of the document), light spots (visible light spots or reflective spots on top of the document), blurring (distorted resolution, motion blur, hairy glass feeling).

Image Quality Detection

deepfake detection system utilizes cutting-edge deep learning technology to quickly and accurately detect face forgery in single person images. Through advanced feature extraction and analysis by deep learning algorithms, the system is able to identify various kinds of forgeries such as mapping, facial reenactment and face replacement.

Deepfake Detection

Based on the self-developed AI detection system, it determines whether card photos, scanned documents and other images have been tampered with by means of cut-and-paste, PS and other means. Special model tuning for card scenes.

Card Forgery Detection

Provide single or batch structured recognition service for 21 key fields of aircraft itinerary, including e-ticket number, fare, fuel surcharge, ID number, fill-in unit, fill-in date, other taxes and fees, passenger's name, remarks, print font size, and total amount.

Chinese Flight Itinerary

Structured recognition of all fields of the Indonesian ID card, with support for the return of the avatar cutout.

Indonesia ID

Support single or batch upload of scanned or photographed images, can be structured to recognize the information in 5 fields of Malaysian ID card, and at the same time can return avatar base 64 data.

Malaysian ID card

Able to recognize 7 key fields on the Macau driving licenses, including name in Chinese, name in English, date of birth, date of issue, expiration date, agency of issue and license number. Structured output key field recognition results.

Macau Driver's License

Supports high-precision structured recognition of 6 key fields of mainstream bank cards, including type, issuer, issuer code, expiration date, card number, and holder, and also returns image cut edge position information.

Bank Card

Supports recognition of textual content appearing on all types of business cards as structured text with cut-edge image information.

Business Card

Provide a high-concurrency and high-reliability API to convert PDF documents to Markdown format. The converted files should maintain the original format of the PDF as much as possible and enhance readability.

PDF to Markdown

Provide a high-concurrency and high-reliability API to convert PDF documents to Excel. The converted files should maintain the original format of the PDF as much as possible and enhance readability.

PDF to Excel

This tool supports 52 languages and can handle a range of scenarios, including handwritten and printed mixed rows.It helps analyze the layout of documents, including pictures, diagrams, tables, lists, text, watermarks, headers, footers, stamps, the position of formulas and text. It also outputs the OCR recognition results for the content in subsections. 

General Document

The product can recognize table contents in images and PDF format documents, including lined tables, unlined tables, and merged cell tables. It is also capable of recognizing multiple tables within a single image. It provides information about the header and footer contents of each table, as well as the text content and positions of the cells within the rows and columns.

General Form

Support structured recognition of all fields of Chinese mainland passport personal data page, including passport number, name in pinyin, name, gender, date of birth, expiration date, date of issue, and other 14 fields, and provide a cut-edge avatar and a cut-edge image of the data page.