AI Model2026
Turns PDFs and images into readable markdown, plain text, or JSON with per-line and per-block boxes and reading order. Uses ~18 MB ONNX models (1M-parameter recognizer) optimized for CPU throughput (up to 49 pages/s, ~230 ms median/page) and layout extraction; not ideal for complex tables, handwriting or degraded scans.
AI Model2026
Runs a 24B-parameter mixture-of-experts reasoning model with only ~2B active parameters per token for fast on-device agentic workflows; provides a 131K-token context and 128K vocabulary, post-trained for tool calling and agentic RL—pair with retrieval for knowledge-heavy tasks.