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Best free AI for documents & ocr
Options you can use without paying: free, open source or with a free tier, ranked from public benchmarks.
STop ranked: TeleOCR (XingChen-AGI), 97 on OmniDocBench v1.6 (end-to-end, v1.6_full).13 options listed · data verified 19 Oct 2026
Ranked list
| Tier | Name | Approach | Runs | Rated by | Price | Skill | Compare |
|---|---|---|---|---|---|---|---|
| S | XingChen-AGI | Models | Local | 97 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~5 GB VRAM | — | |
| S | ATH-MaaS | Models | Local | 96 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~4 GB VRAM | — | vs TeleOCR |
| S | Baidu (PaddlePaddle) | Models | Local | 96 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~4 GB VRAM | — | vs TeleOCR |
| S | OpenDataLab (Shanghai AI Laboratory) | Models | Local | 96 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~4 GB VRAM | — | vs TeleOCR |
| S | Z.ai | Models | Local | 95 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~5 GB VRAM | — | vs TeleOCR |
| S | Baidu | Models | Local | 94 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~8 GB VRAM | — | |
| S | Baidu | Models | Local | 94 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~11 GB VRAM | — | |
| S | Tencent (Youtu) | Models | Local | 94 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~7 GB VRAM | — | |
| S | FireRed Team | Models | Local | 93 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~6 GB VRAM | — | |
| S | Baidu (PaddlePaddle) | Parsers & APIs | Local | via PaddleOCR-VL-1.6 | Free | advanced | |
| S | MinerU OpenDataLab (Shanghai AI Laboratory) | Parsers & APIs | Local | via MinerU2.5-Pro-2605-1.2B Cloud models: tier S | Free | intermediate | |
| A | DeepSeek | Models | Local | 90 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~9 GB VRAM | — | |
| A | ByteDance | Models | Local | 90 on OmniDocBench v1.6 (end-to-end, v1.6_full) | ~9 GB VRAM | — |
Tiers come only from public benchmarks (OmniDocBench v1.6 (end-to-end, v1.6_full)); tools without a result of their own inherit the tier of the best model they offer. How we rank.