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  1. Home
  2. AI Models
  3. Multimodal
  4. Kosmos-2.5
open sourcemultimodal

Kosmos-2.5

Free MIT document AI — OCR + understanding + Markdown export in one model

Developed by Microsoft Research

Try Model
~1.3BParams
YesAPI
stableStability
Kosmos-2.5Version
MITLicense
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
[Image: scanned restaurant receipt] Extract all line items with prices and the total — return as structured Markdown.

Model Output

model response
**Receipt — Trattoria Roma, March 28, 2026** | Item | Qty | Price | |---|---|---| | Margherita Pizza | 1 | $14.50 | | Caesar Salad | 1 | $9.00 | | Chianti (glass) | 2 | $16.00 | | Tiramisu | 1 | $7.50 | **Subtotal:** $47.00 **Tax:** $3.76 **Total:** $50.76

Examples

Real-World Applications

  • Invoice/receipt extraction
  • contract analysis
  • scientific paper digitization
  • table extraction
  • accessibility for screen readers
  • document-to-structured-data.

Docs

Model Intelligence & Architecture

What is Kosmos-2.5?

Kosmos-2.5 is a multimodal foundation model developed by Microsoft Research as part of their Kosmos family, released in late 2023. While earlier Kosmos versions focused on general visual reasoning, Kosmos-2.5 specializes in understanding text-rich images — combining OCR, layout analysis, and language understanding in a single end-to-end model.

It is released under the MIT license, making it 100% free for commercial use.

Why Kosmos-2.5 Is Trending in 2026

As enterprises scale document AI workflows, demand for end-to-end document understanding models has exploded. Kosmos-2.5 sits at a sweet spot — it produces both spatially-aware text extraction (with bounding boxes) and Markdown-formatted reconstruction, eliminating the need for separate OCR + layout + parsing pipelines.

Key Features and Capabilities

Kosmos-2.5 supports OCR with bounding boxes, document-to-Markdown conversion, table extraction, scientific equation recognition, multi-column layout understanding, and visual question answering on text-rich content.

Who Should Use Kosmos-2.5?

Kosmos-2.5 is built for document AI engineers, fintech teams (invoice/receipt processing), legal document teams, scientific paper indexers, accessibility tool makers, and OCR product builders.

Top Use Cases

Real-world applications include invoice and receipt extraction, contract analysis, scientific paper digitization, table extraction from PDFs, accessibility for screen readers, and document-to-structured-data conversion.

Where Can You Run It?

Kosmos-2.5 runs on Hugging Face Transformers and Microsoft's official UniLM repository. The model fits in 12 GB VRAM at full precision.

How to Use Kosmos-2.5 (Quick Start)

Load via Hugging Face: microsoft/kosmos-2.5. Pass an image and choose the task mode: 'ocr' for bounding-box extraction or 'markdown' for full document reconstruction.

When Should You Choose Kosmos-2.5?

Choose Kosmos-2.5 when you need end-to-end document understanding in a single model. For broader multimodal tasks beyond text-rich images, use LLaVA-NeXT or DeepSeek-VL.

Pricing

Kosmos-2.5 is completely free under MIT license.

Pros and Cons

Pros: ✔ MIT license ✔ End-to-end OCR + understanding ✔ Bounding box outputs ✔ Markdown reconstruction ✔ Microsoft research backing ✔ Strong on tables and equations

Cons: ✘ Specialized for text-rich images ✘ Less broad than LLaVA ✘ Smaller community than mainstream multimodal LLMs

Final Verdict

Kosmos-2.5 is the top free model for end-to-end document AI in 2026 — perfect for invoice, contract, and scientific paper workflows. Discover more document AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ MIT license
  • ✓ End-to-end OCR + understanding
  • ✓ Bounding box outputs
  • ✓ Markdown reconstruction
  • ✓ Microsoft research backing
  • ✓ Strong on tables and equations
Limitations
  • ✗ Specialized for text-rich images
  • ✗ Less broad than LLaVA
  • ✗ Smaller community than mainstream multimodal LLMs

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code

Technical Details

Architecture
Transformer with shared text/image decoder
Stability
stable
Framework
PyTorch
License
MIT
Release Date
2023-09-20
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Completely free under MIT license

Best For

Document AI teams needing end-to-end OCR + understanding in one model

Alternative To

Donut, LayoutLMv3, Adobe PDF Services AI

Compare With

kosmos-2.5 vs gpt-4vkosmos-2.5 vs donutkosmos vs llavafree document aibest ocr multimodal

Tags

#Kosmos#OCR AI#Document AI#Microsoft Research#Open Source AI#Multimodal AI

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