"How to extract text from images" matching MCP servers:

Enables MCP clients to extract tables and text from digital PDF invoices, bank statements, and bills into CSV, JSON, or Excel, with automatic PII redaction by default.

Enables AI assistants to validate Russian business requisites (INN, OGRN, bank accounts) via checksums, extract them from text, and retrieve counterparty details by INN using DaData.

Extracts any Instagram post, reel, or multi-slide carousel and converts captions, OCR text, and metadata into structured screener filters such as PER, PBV, ROE, RSI, and volume for reusable IG-to-screener workflows.

Enables agents to extract multi-page financial tables from complex PDFs, rasterize vector pages into crisp 300 DPI images for vision LLMs, flatten interactive AcroForm/XFA forms, and dewarp skewed OCR bounding boxes from photographed or scanned paper documents. Tool invocations are gated by USDC micropayments settled on Base L2 via the x402 protocol.

A Model Context Protocol server that enables LLM clients to fetch, analyze, and extract insights from real-time WallStreetBets posts, comments, and shared links for market analysis.

Enables MCP clients to automate the complete SAP Business One sales cycle, from quotations and orders through deliveries, invoicing, incoming payments, and collections via Service Layer.

A simple MCP server that exposes stock price lookup tools, demonstrating how to set up MCP from scratch with Ollama.

Enables AI agents to query The Economist's Big Mac index from 2000 to the latest release, retrieving a country's local price, dollar price and exchange rate, or ranking currencies by how over- or under-valued they are against the dollar, euro, pound, yen or yuan, both raw and GDP-adjusted. Keyless, with historical releases, alias handling and full source attribution.

Enables natural language queries to read balances, statements, credit card bills, investments, and loans from Next bank accounts via Open Finance Brasil. All read-only, no money movement.

Enables querying dimensioned XBRL facts and tagged note text from SEC DERA Financial Statement and Notes datasets, including segment/geography breakdowns and footnote prose unavailable through companyfacts/frames. Supports per-company fact lookups, cross-company tag screens, note-text full-text search, and coverage checks.

Enables users to query IPVA (vehicle property tax) data from the official SEFAZ TO source via a read-only MCP tool.

Enables fetching TradingView chart images for any ticker and interval via Selenium, using browser pooling to handle concurrent requests efficiently.

AI-powered expense tracking MCP server that connects LLM clients to PostgreSQL for natural language expense management.

Enables AI assistants to inspect and extract invoice metadata from PDFs, Word documents, Excel files, and images, then synchronize and enrich the extracted data into an Excel ledger.

An MCP server that interfaces with the Japanese EDINET API v2 to search, download, and extract text from financial disclosure documents. It enables users to browse disclosure lists, retrieve document originals, and perform natural language searches for specific financial filings.

Enables accounts payable teams to extract invoice data from PDFs and images, detect duplicates, normalize vendor names, calculate payment terms, and validate invoice completeness. Supports local extraction for text PDFs and optional vision providers for scanned documents.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.

Enables users and AI agents to resolve tickers, CIKs, or company names to official SEC entity data and retrieve recent EDGAR filings, XBRL financial facts, and optional filing-text excerpts. It delivers structured, source-linked rows for research and tooling, with schema-versioned output and machine-readable error codes.

Provides read-only tools to query live Polymarket prediction-market data via the public Gamma API, enabling search, browsing, and detailed market and event information.

Enables agents to fuzzy-screen person and company names against the OFAC SDN/Consolidated, EU, UK and UN sanctions lists downloaded fresh from official sources, returning potential-match statuses, 0–100 scores and listing details via a billed screening tool, plus a free local tool that lists covered sources, score scale and disclaimer.