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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Cohere Parse is an advanced vision-language model designed to efficiently handle and analyze vast quantities of enterprise documents, transforming intricate multimodal files into structured data that machines can easily interpret. Unlike conventional OCR, it possesses the capability to comprehend tables, forms, diagrams, embedded visuals, and overall document architecture, ultimately producing clean Markdown suitable for various downstream uses. This model is specifically tailored for business documentation spanning key sectors such as finance, insurance, and scientific research, and it accommodates text and images in nine prominent global languages. With its spatial awareness feature, it maintains crucial visual relationships by generating bounding boxes around visual components, which enhances processes like retrieval, grounding, and automation. Built to manage production-level workloads, Cohere Parse ensures high throughput and maintains parsing quality even as document volumes increase. Its applications extend to automated document processing, enabling the extraction of structured information from a wide range of documents, including claims, contracts, invoices, and more. Overall, Cohere Parse stands as a robust solution for organizations seeking to streamline their document management and extraction processes.

Description

Gemini 3.5 Flash-Lite stands out as the quickest model within Google's Gemini 3.5 lineup, specifically engineered for tasks requiring low latency and for enhancing developer workflows that demand high throughput, including agentic search, document processing, coding, and extensive data analysis. It boasts an impressive output capacity of 350 tokens per second and marks a significant enhancement over earlier Flash-Lite iterations in terms of both quality and agentic capabilities. Developers have the flexibility to adjust the model's thinking level to suit the demands of the task at hand: minimal or low thinking allows for rapid processing of large volumes, while elevated thinking levels accommodate more intricate, multi-step workflows involving subagents. Furthermore, the model is equipped with built-in computational skills, enabling it to interact effectively with various digital environments across compatible platforms. Additionally, Gemini 3.5 Flash-Lite excels in coding, comprehending long contexts, and executing real-world tasks, consistently outperforming its predecessor, Gemini 3.1 Flash-Lite, in critical assessments and even exceeding the performance of Gemini 3 Flash on multiple benchmarks related to agentic functions and software engineering. This impressive performance highlights its potential to transform how developers approach complex workflows and data-intensive tasks.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Bash No 
Bind AI No 
Dart No 
Gemini 3 Flash No 
Gemini 4 Argon No 
Gemini Enterprise No 
Gemini Enterprise Agent Platform No 
Go No 
Google AI Ultra No 
Google Antigravity No 
Java No 
Kotlin No 
OpenClaw No 
PHP No 
Rust No 
SQL No 
Solidity No 
Swift No 
TypeScript No 
XML No 

Integrations

Bash Yes 
Bind AI Yes 
Dart Yes 
Gemini 3 Flash Yes 
Gemini 4 Argon Yes 
Gemini Enterprise Yes 
Gemini Enterprise Agent Platform Yes 
Go Yes 
Google AI Ultra Yes 
Google Antigravity Yes 
Java Yes 
Kotlin Yes 
OpenClaw Yes 
PHP Yes 
Rust Yes 
SQL Yes 
Solidity Yes 
Swift Yes 
TypeScript Yes 
XML Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cohere AI

Founded

2019

Country

Canada

Website

cohere.com/blog/parse

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Product Features

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