Image-to-text AI Models

Models listed

56

Published in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Image-to-text models are a source-backed task collection in this directory. The current editorial inventory contains 198 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Image-to-text model list

Scan the table below, then open any model for pricing, limits and the full write-up.

56 models
Mistral OCR 4.1
Mistral AI
14.5————
Claude Sonnet 3.5 v2
Anthropic
43.4200K———
Gemini 1.5 Pro
Google
63.62M$1.25$5.0065 t/s
GPT-4o
OpenAI
46.8128K$2.50$10.00—
alibaba-damo/mgp-str-base
alibaba-damo
5.0————
breezedeus/pix2text-mfr
breezedeus
5.0————
facebook/nougat-base
facebook
5.0————
facebook/nougat-small
facebook
5.0————
google/pix2struct-base
google
5.0————
ibm-granite/granite-vision-3.3-2b
IBM Granite
5.0————
JEILDLWLRMA/Qwen3-VL-8B-Instruct-NVFP4
JEILDLWLRMA
5.0————
kha-white/manga-ocr-base
kha-white
5.0————
laion/mscoco_finetuned_CoCa-ViT-L-14-laion2B-s13B-b90k
laion
5.0————
lightonai/LightOnOCR-1B-1025
lightonai
5.0————
microsoft/git-base
Microsoft Research
5.0————
microsoft/kosmos-2-patch14-224
Microsoft Research
5.0————
microsoft/trocr-base-handwritten
Microsoft Research
5.0————
microsoft/trocr-base-printed
Microsoft Research
5.0————
microsoft/trocr-base-stage1
Microsoft Research
5.0————
microsoft/trocr-large-handwritten
Microsoft Research
5.0————
microsoft/trocr-large-printed
Microsoft Research
5.0————
microsoft/trocr-small-handwritten
Microsoft Research
5.0————
microsoft/trocr-small-printed
Microsoft Research
5.0————
microsoft/trocr-small-stage1
Microsoft Research
5.0————
naver-clova-ix/donut-base
naver-clova-ix
5.0————
naver-clova-ix/donut-base-finetuned-cord-v2
naver-clova-ix
5.0————
nlpconnect/vit-gpt2-image-captioning
nlpconnect
5.0————
noctrex/LightOnOCR-2-1B-bbox-soup-GGUF
noctrex
5.0————
numind/NuExtract3
numind
5.0————
optimum-intel-internal-testing/pix2struct-tiny-random
optimum-intel-internal-testing
5.0————
optimum-intel-internal-testing/trocr-small-handwritten
optimum-intel-internal-testing
5.0————
PaddlePaddle/en_PP-OCRv4_mobile_rec
PaddlePaddle
5.0————
PaddlePaddle/en_PP-OCRv5_mobile_rec
PaddlePaddle
5.0————
PaddlePaddle/latin_PP-OCRv5_mobile_rec
PaddlePaddle
5.0————
PaddlePaddle/PP-DocBlockLayout
PaddlePaddle
5.0————
PaddlePaddle/PP-LCNet_x1_0_doc_ori
PaddlePaddle
5.0————
PaddlePaddle/PP-LCNet_x1_0_textline_ori
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv3_mobile_det
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv5_mobile_det
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv5_mobile_det_onnx
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv5_mobile_rec
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv5_server_det
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv5_server_rec
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv6_medium_det
PaddlePaddle
5.0————
PaddlePaddle/PP-OCRv6_medium_rec
PaddlePaddle
5.0————
PaddlePaddle/UVDoc
PaddlePaddle
5.0————
raxtemur/trocr-base-ru
raxtemur
5.0————
rtr46/meiki.text.detect.v0
rtr46
5.0————
rtr46/meiki.txt.recognition.v0
rtr46
5.0————
Salesforce/blip-image-captioning-base
Salesforce
5.0————
Salesforce/blip-image-captioning-large
Salesforce
5.0————
sherif1313/Arabic-handwritten-OCR-4bit-Qwen2.5-VL-3B-v2
sherif1313
5.0————
unsloth/GLM-OCR
unsloth
5.0————
WeVisDoc 2B
Tencent
5.0————
WeVisDoc 4B
Tencent
5.0————
zhiyuanyou/DeQA-Score-Mix3
zhiyuanyou
5.0————

1–56 of 56 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Image-to-text model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.