# document ai

Published articles for document ai.

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## Introducing Mistral OCR 4

DevFeed: [Introducing Mistral OCR 4](<https://devfeed.tech/articles/introducing-mistral-ocr-4-7098.md>)

Original publisher: [Read original article](<https://mistral.ai/news/ocr-4/>)

Published: 2026-06-23T12:00:48Z

Content type: article

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [document ai](<https://devfeed.tech/topics/document-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [API](<https://devfeed.tech/topics/api.md>), [Security, Privacy and Abuse Prevention](<https://devfeed.tech/topics/security-privacy-and-abuse-prevention.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [document-ai](<https://devfeed.tech/tags/document-ai.md>), [enterprise](<https://devfeed.tech/tags/enterprise.md>), [ocr](<https://devfeed.tech/tags/ocr.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [self-hosted](<https://devfeed.tech/tags/self-hosted.md>)

### AI overview

Mistral OCR 4 is a document AI model for parsing documents with bounding boxes, typed block classification, inline confidence scores, and support for 170 languages. The article describes its benchmark performance, self-hosted deployment in a single container, API and Document AI access, and use in enterprise search, retrieval-augmented generation, and agentic workflows.

### Source excerpt

Mistral OCR 4 delivers enterprise document AI with 170-language support, bounding boxes, and self-hosted deployment.

## PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend

DevFeed: [PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend](<https://devfeed.tech/articles/paddleocr-3-5-running-ocr-and-document-parsing-tasks-with-a-transformers-backend-7031.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/PaddlePaddle/paddleocr-transformers>)

Author: AlexZhang; Cuicheng; Jun Zhang; Manhui Lin; Yue Zhang

Published: 2026-05-18T15:12:46Z

Content type: release

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [document ai](<https://devfeed.tech/topics/document-ai.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [document-ai](<https://devfeed.tech/tags/document-ai.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [ocr](<https://devfeed.tech/tags/ocr.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [rag](<https://devfeed.tech/tags/rag.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

### AI overview

PaddleOCR 3.5 adds Transformers as a supported inference backend for OCR and document parsing models, while PaddleOCR continues to manage the underlying pipelines. The release simplifies integration with Hugging Face-centered environments and downstream document workflows such as RAG, search, analytics, and automation.

### Source excerpt

PaddleOCR continues to provide OCR model series such as PP-OCRv5 and document parsing model series such as PaddleOCR-VL 1.5, while Transformers becomes one of the supported backends for running them. Try the live demo on Hugging Face Spaces: PaddleOCR 3.5 introduces a more flexible inference-engine interface. Developers can select the backend through the parameter and pass backend-specific options through .

## Introducing Mistral OCR 3

DevFeed: [Introducing Mistral OCR 3](<https://devfeed.tech/articles/introducing-mistral-ocr-3-7070.md>)

Original publisher: [Read original article](<https://mistral.ai/news/mistral-ocr-3/>)

Published: 2025-12-17T15:00:00Z

Content type: release

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [Ground truth / benchmark quality](<https://devfeed.tech/topics/ground-truth-benchmark-quality.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [document-ai](<https://devfeed.tech/tags/document-ai.md>), [html](<https://devfeed.tech/tags/html.md>), [json](<https://devfeed.tech/tags/json.md>), [models](<https://devfeed.tech/tags/models.md>), [ocr](<https://devfeed.tech/tags/ocr.md>)

### AI overview

Mistral introduces OCR 3, a document-processing model for extracting text and embedded images, reconstructing tables, and producing Markdown or structured JSON. The article describes benchmark comparisons with ground truth and API integration for developers.

### Source excerpt

The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.

## Supercharge your OCR Pipelines with Open Models

DevFeed: [Supercharge your OCR Pipelines with Open Models](<https://devfeed.tech/articles/supercharge-your-ocr-pipelines-with-open-models-7406.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ocr-open-models>)

Author: merve; Aritra Roy Gosthipaty; Daniel van Strien; Hynek Kydlicek; Andres Marafioti; Vaibhav Srivastav; Pedro Cuenca

Published: 2025-10-21T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [document ai](<https://devfeed.tech/topics/document-ai.md>), [Computer vision](<https://devfeed.tech/topics/computer-vision.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [document-ai](<https://devfeed.tech/tags/document-ai.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [html](<https://devfeed.tech/tags/html.md>), [llm](<https://devfeed.tech/tags/llm.md>), [markdown](<https://devfeed.tech/tags/markdown.md>), [models](<https://devfeed.tech/tags/models.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [ocr](<https://devfeed.tech/tags/ocr.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [qa](<https://devfeed.tech/tags/qa.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [vision](<https://devfeed.tech/tags/vision.md>), [vlm](<https://devfeed.tech/tags/vlm.md>)

### AI overview

This guide surveys open-weight OCR and vision-language models for document AI. It explains their capabilities, output formats, multimodal document retrieval, document question answering, and the tradeoffs between fine-tuning and using models out of the box.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## We now support VLMs in smolagents!

DevFeed: [We now support VLMs in smolagents!](<https://devfeed.tech/articles/we-now-support-vlms-in-smolagents-7478.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/smolagents-can-see>)

Author: Aymeric Roucher; merve; Albert Villanova del Moral

Published: 2025-01-24T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [smolagents](<https://devfeed.tech/topics/smolagents.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [web browser](<https://devfeed.tech/topics/web-browser.md>), [document ai](<https://devfeed.tech/topics/document-ai.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [document-ai](<https://devfeed.tech/tags/document-ai.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [smolagents](<https://devfeed.tech/tags/smolagents.md>), [vision](<https://devfeed.tech/tags/vision.md>), [vlm](<https://devfeed.tech/tags/vlm.md>), [vlms](<https://devfeed.tech/tags/vlms.md>), [web-browser](<https://devfeed.tech/tags/web-browser.md>)

### AI overview

smolagents now supports vision-language models natively in agentic pipelines. The article explains how agents can receive images at initialization or dynamically through memory callbacks, enabling visual web browsing, Document AI workflows, and processing long PDFs with visual elements.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Introducing TextImage Augmentation for Document Images

DevFeed: [Introducing TextImage Augmentation for Document Images](<https://devfeed.tech/articles/introducing-textimage-augmentation-for-document-images-7172.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/doc_aug_hf_alb>)

Author: Dana Aubakirova; Pablo Montalvo; Vladimir Iglovikov

Published: 2024-08-06T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [data augmentation](<https://devfeed.tech/topics/data-augmentation.md>), [albumentations](<https://devfeed.tech/topics/albumentations.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [albumentations](<https://devfeed.tech/tags/albumentations.md>), [data-augmentation](<https://devfeed.tech/tags/data-augmentation.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [document-ai](<https://devfeed.tech/tags/document-ai.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [research](<https://devfeed.tech/tags/research.md>), [synthetic-data](<https://devfeed.tech/tags/synthetic-data.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>), [training](<https://devfeed.tech/tags/training.md>), [vision](<https://devfeed.tech/tags/vision.md>), [vlms](<https://devfeed.tech/tags/vlms.md>)

### AI overview

The article introduces a multimodal data augmentation pipeline for document images used in Vision Language Model fine-tuning. Developed with Albumentations AI, it modifies document images and their text annotations together while aiming to preserve text quality. The methods include text insertion, deletion, swapping, and stopword replacement, followed by image masking and inpainting.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.