Cohere Parse

Cohere Parse

Cohere AI
SmolVLM

SmolVLM

Hugging Face
+
+

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About

Cohere Parse is a high-throughput vision-language model for processing large volumes of enterprise documents and converting complex, multimodal files into structured, machine-readable data. It goes beyond traditional OCR by understanding tables, forms, diagrams, embedded images, and document structure, returning clean Markdown for downstream processing and applications. Parse is trained for business documents across major industries and domains, including finance, insurance, and scientific work, and supports documents and images across nine major world languages. Spatial awareness preserves important visual relationships by returning bounding boxes for visual elements, helping improve retrieval, grounding, and automation. The model is designed for production-scale workloads, with high throughput and consistent parsing quality as document volumes grow. It can be used for automated document processing, extracting structured information from claims, contracts, and invoices.

About

SmolVLM-Instruct is a compact, AI-powered multimodal model that combines the capabilities of vision and language processing, designed to handle tasks like image captioning, visual question answering, and multimodal storytelling. It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

Enterprise AI, data, and document-processing teams seeking to turn complex business documents into structured data for automation, search, RAG, and agentic workflows

Audience

Developers, AI researchers, and businesses looking for a compact, high-performance model to handle multimodal tasks, including image-based data analysis, captioning, and story generation

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Cohere AI
Founded: 2019
Canada
cohere.com/blog/parse

Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct

Alternatives

Alternatives

Inkling

Inkling

Thinking Machines Lab
Pixtral Large

Pixtral Large

Mistral AI
PaddleOCR

PaddleOCR

PaddlePaddle
Magma

Magma

Microsoft

Categories

AI Models Supported
AI Vision Models Supported

Categories

AI Vision Models Supported

Integrations

No info available.

Integrations

No info available.
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