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Average Ratings 0 Ratings

Total
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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Android Studio
Bash
Bind AI
C#
Cursor
Gemini 3.5 Flash
Gemini 3.6 Flash
Gemini Enterprise Agent Platform
Go
Google AI Plus
Google AI Ultra
HTML
Java
JetBrains Junie
PowerShell
Python
Scala
Solidity
Vercel AI Gateway
XML

Integrations

Android Studio
Bash
Bind AI
C#
Cursor
Gemini 3.5 Flash
Gemini 3.6 Flash
Gemini Enterprise Agent Platform
Go
Google AI Plus
Google AI Ultra
HTML
Java
JetBrains Junie
PowerShell
Python
Scala
Solidity
Vercel AI Gateway
XML

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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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