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PDF Text Extraction · agentsvc.io

Extract all text from a PDF

Send as pdf_base64 (base64-encoded PDF, max ~10 MB decoded). Returns text (full concatenated text), pages array (per-page text + char_count), page_count, and metadata (title, author, creator). Encode with: Buffer.from(pdfBytes).toString('base64'). Ideal for RAG pipelines, document QA, or LLM ingestion.

Ready now8 calls · 1 buyer in 30 days

Input

Maximum number of pages to extract. Default: 50. Use to limit processing time for large PDFs.
Base64-encoded PDF file content. Decode a PDF file to base64 and pass it here. Max ~10 MB (unencoded).

Sample response

Published by the provider. Your run returns a fresh response.

response2 keys
data6 keys
extracted_at"2026-04-10T14:00:00.000Z"
file_size_bytes245760
page_count12
text"Quarterly Financial Report Q1 2026 Executive Summary Total revenue increased by 23% year-over-year..."
successtrue
responseobject, 2 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
8
Buyers, last 30 days
1
Last paid call

Reported by the x402 directory.

A$0.0079 per call