Image and document understanding

Turn photos of documents, multi-page scans and PDFs into text you can copy and search.

A complete book on building AI agents, published free and in the open by Bojie Li, organised around one formula: an agent is a language model plus context plus tools.

The Python library that defines how open models are written down, covering text, images, audio, video and combinations of them, for both running a model and training one.

A cross-encoder — a model that reads two pieces of text together and judges their relationship — built by further training Qwen3.5.

JEV-35B evaluates up to 256 options in one pass.

Turn photos of documents, multi-page scans and PDFs into text you can copy and search.

Convert page images of long documents into text, with all pages read together in one request.

Ask yes-or-no, multiple-choice or rating questions about a piece of text, JSON, an image or a video, and get a probability for every allowed answer.

Give a model up to a million tokens of text and images in one go, such as a long agent session or a large pile of input, and get text back.

Use its Python encoder to format text and image chats, then run the model and get written replies.

A 740-million-parameter embedding model from Google DeepMind that turns text, code, images, video and audio into vectors in one shared 768-dimensional space.

Run Qwen3.8-27B, a 27-billion-parameter model that reads images and text, on your own computer at a file size you choose.

Paste an AI-written email, essay or report and get a rewrite that reads more naturally, offline; for people writing in English or Chinese.

For developers building voice apps: LFM3-Omni-2B answers questions about photos, video and audio, and replies in text, speech or both.

Send a screenshot, chart or document and get a written explanation, or hand it a bug to fix.

Generate 4–15 second videos with built-in stereo sound from text, images, video or audio, through an online API, web app or desktop app.

Ask questions about text, images and documents, write code, and get replies in a fixed data format.

Send text, images or video and get written answers.

Ask questions about document images, pictures and video and get text answers; it needs NVIDIA GPU servers, so it suits developers.

Ask questions about text, images, or video and receive text responses.

Turn photos, scans and PDFs of Chinese or English documents into editable text, tables and formulas.

Ask questions about one image, several images or a video and get text answers.

Run a 27-billion-parameter model that reads text, images and video and writes text back, on hardware you control.

An experimental preview of the architecture Alibaba intends to build its next model generation on, released with open weights.

ZDTaichu5.0-9B is a 9-billion-parameter vision-language model, meaning it reads images, video and text together.

Get answers from a 27-billion-parameter reasoning model that spends less time thinking to itself before replying.

A compressed, ready-to-run version of Swift-Qwen3.8-27B, which is Qwen3.8-27B adjusted to reach its answers with far less internal deliberation.

MiMo-V2.6-Distill-Qwen-9B is a 9-billion-parameter model made by fine-tuning Qwen3.5-9B on data generated by Xiaomi's larger MiMo-V2.6 models, a technique called distillation where a smaller model is trained to imitate a bigger one's outputs rather than being trained on raw internet text from scratch.

Give one model text, images, video or audio, with up to a million tokens of context such as a whole code repository or a long tool log, and get text back for coding and agent work.

MiMo-V2.6-Pro-RL is Xiaomi's flagship model in the MiMo-V2.6 family, reading and generating text, images, video and audio in one model with a 1-million-token context for handling large codebases or long multi-session agent work.

TeleOCR is a vision-language model of about 1.2 billion parameters (learned settings) for reading documents.

Ask a model questions about text or images and read written answers, through the Z.ai API or on your own servers.