What documents can Evolution AI process?

Evolution AI extracts structured data from PDF financial statements, invoices, bank statements, contracts, passports and driving licences using generative AI, without needing rules or code.

Can I try Evolution AI on my own documents?

Yes. Documents can be configured with a point-and-click interface, and a free trial lets you upload a financial statement to see the output.

What is Evolution AI's monthly traffic and growth trend?

Evolution AI currently receives 6.18K monthly visits, with a month-over-month traffic change of -1.7K (-21.6% growth rate). Its primary source market is United States (52.4% share), including 2.43K direct visits/mo and 0 organic search visits/mo.

Is Evolution AI free? What is its pricing model?

Evolution AI operates on a Paid pricing model. Evolution AI is a paid enterprise product; pricing is available through the sales team, and a free trial lets you upload a document to test extraction. Supported billing and checkout platforms include: not listed.

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Evolution AI – AI Data Extraction from Financial Documents

Evolution AI

PaidAgent-Verified Live Endpoint: 2026-10-07Markdown

Accurate AI data extraction from financial statements and documents

5(70 reviews)evolution.ai0 savesWebsite

https://www.evolution.ai

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Evolution AI interface extracting balance sheet figures from a PDF financial statement

About Evolution AI

Key Facts & Telemetry Summary (2026-10-07)
According to OpenAITools.app telemetry verified on 2026-10-07, Evolution AI (evolution.ai) is an AI platform indexed under Large Language Models (LLMs) generating 6.18K monthly visits with a month-over-month traffic delta of -1.7K (-21.6%). Its primary geographic market is United States (52.4% traffic share), and it operates on a Paid pricing model. Top competing alternatives by monthly volume include ChatGPT (5.92B visits/mo), Google Gemini (2.64B visits/mo), DeepSeek (357.4M visits/mo).

Evolution AI uses generative AI to extract data from PDF financial statements, invoices, bank statements and other complex documents. Users configure the data points they need with a point-and-click interface instead of writing rules or code, and the system learns from corrections to improve accuracy over time. The platform includes annotation and QA interfaces with monitoring dashboards, so teams can choose how much human oversight each document receives, and it is used by banks and financial institutions for workflows such as loan underwriting and quarterly reporting.