Results for: ber decoder

GLM-OCR is a multimodal optical character recognition model and open source repository that provides accurate, efficient, and comprehensive document understanding by combining text and visual modalities into a unified encoder–decoder architecture derived from the GLM-V family. Built with a visual encoder pre-trained on large-scale image–text data and a lightweight cross-modal connector feeding into a GLM-0.5B language decoder, the model supports layout detection, parallel region recognition, and structured output for text, tables, formulas, and complicated real-world document formats. ...

...Numerous interface functions for transforming and creating new content for PDF files, providing a huge variety of options and broad flexibility for implementation tailored to the specific needs of your project. Efficient utilization of multi-core CPUs for stream decoding and content rendering purposes achieved by closely following portable document format specification guidelines. Apply electronic signatures (with or without cryptographic security layer). PDF encryption & decryption (a password-based encryption handler). Document structure manipulation (create, delete, move, insert, extract, resize, and rotate pages).

...Beyond PDFs, RatPDF also provides versatile image tools such as image compression, format conversion, resizing, and background removal, making it useful for designers, students, and professionals alike. Additionally, it includes developer-friendly utilities like JWT decoding, JSON formatting, and HTML formatting, helping streamline workflows for technical users. Built with speed, privacy, and ease of use in mind, RatPDF processes files securely in the browser, ensuring your data stays safe.

DeepSeek-OCR is an open source model for Contexts Optical Compression, built to explore the boundaries of visual-text compression and investigate the role of vision encoders from an LLM-centric viewpoint. It is designed to compress long contexts through optical 2D mapping, using DeepEncoder as the core engine and DeepSeek3B-MoE-A570M as the decoder. DeepEncoder maintains low activations under high-resolution input while achieving high compression ratios, keeping the number of vision tokens manageable for document understanding. The model supports OCR and document parsing workflows for images and PDFs, with inference through vLLM or Transformers. Users can run image OCR with streaming output, process PDFs with high concurrency, or run batch evaluation for benchmarks. ...