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Vinkius

Extracta Connector for AI agents.

10 live capabilities

Turn messy PDFs and images into structured JSON data automatically.

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Why people use Extracta

Extracta for Automated Invoice and Receipt Processing

With this Connector, you just provide the links. The agent handles the OCR, identifies the relevant fields, and gives you the data in a format your systems can actually use. You get a clean data pipeline instead of a stack of papers.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You stop manually typing data from documents and start receiving clean JSON automatically.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Automated Invoice Processing

    An operations lead asks the agent to extract totals from 50 different invoice URLs and save them to a list.

  2. Real-world use case 02

    Document Sorting

    A finance person wants the agent to look at a folder of uploads and tell them which ones are contracts.

  3. Real-world use case 03

    Data Migration

    A developer uses the capability to turn a pile of old JPG receipts into a structured JSON database.

Complete set · 10capabilities

The complete Extracta capability set.

These are the exact actions your AI can choose when you ask it to work with Extracta.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Extracta.

  1. 01 Capability

    Get batch results

    Pull a bulk list of historical results from a previous extraction run. This helps you audit your data in one go.

  2. 02 Capability

    Create classification

    Create a new setup to sort documents into types like invoices or contracts. Pass a JSON schema to define your categories.

  3. 03 Capability

    Get classification results

    Find out what category the AI assigned to a specific document. Use this to verify your sorting rules.

  4. 04 Capability

    Create extraction

    Set up a new data extraction process with custom JSON fields and rules. It returns an ID for future use.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Extracta.

  1. 05 Capability

    Delete extraction

    Remove a specific extraction process so it can no longer receive files. This is useful for cleaning up old configurations.

  2. 06 Capability

    Get results

    Check the current status or the final data for a single document. Use this to see if a file is done processing.

  3. 07 Capability

    Update extraction

    Modify the mapping rules of an existing process to refine how data is parsed. You don't have to create a new endpoint to do this.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Extracta.

  1. 08 Capability

    Upload file url

    Submit a public URL for a document to begin the asynchronous extraction process. This returns a document ID for tracking.

  2. 09 Capability

    View extraction

    Review the configuration and fields of an existing extraction process. Check your settings at any time.

  3. 10 Capability

    View classification

    View the specific details and rules of an existing document classification process.

Set up in minutes

One URL. Then ask Extracta to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Extracta from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_C65ttiBqS65NCFErwJyenYxrCFQRkfcwF5fUOGUO/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Extracta, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Extracta for the conversation.

Where the request belongs

Work Extracta can move forward.

Built around the request

This is for the operations manager buried in paperwork, the analyst who hates manual data entry, and the developer building automated pipelines.

01

Operations Manager

Handles the daily grind of sorting through hundreds of vendor invoices and receipts.

02

Data Analyst

Converts physical document archives into structured datasets for reporting.

03

Backend Developer

Builds and tests document processing pipelines without writing custom OCR code.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

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01 10 capabilities

Cradl AI

Equip your AI agent to extract structured data from any document using Cradl AI's deep learning models.

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02 10 capabilities

AlgoDocs

AI document extraction orchestration. parse PDFs, images, and Word docs via AI.

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Docparser logo
03 10 capabilities

Docparser

Equip your AI agent to extract data from documents, manage parsers, and track extraction results via the Docparser API.

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04 12 capabilities

Parsio

Extract structured data from emails and PDFs automatically with AI-powered parsing templates that learn from your documents.

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Alphamoon logo
05 12 capabilities

Alphamoon

Extract data from documents using AI-powered OCR and intelligent document processing for contracts, invoices, and forms.

View Connector
Airparser logo
06 10 capabilities

Airparser

AI data extraction orchestration. parse PDFs, emails, and images into structured data via AI.

View Connector

Bring your own AI

Change the model, client or framework. Keep Extracta connected.

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Before you connect

Questions about Extracta.

The practical details behind the request, access and result.

Can Extracta handle different file types?

Extracta supports common file formats including PDFs, JPGs, and PNGs. This means you can send images of physical receipts or digital PDFs for processing.

How does Extracta help with invoice processing?

It automates the extraction of specific fields like dates, vendor names, and totals from invoices. It turns those documents into structured JSON data for your records.

Can I change the fields I'm extracting later?

Yes, you can update your extraction rules at any time. You can add or remove fields like tax amounts or item descriptions without having to rebuild your setup.

Does Extracta work with my current AI client?

Yes, it works with Claude, Cursor, Windsurf, and other MCP-compatible clients. You can manage your document workflows directly within the capabilities you already use.

How do I see my previous results?

You can fetch a list of all previously processed documents and their data payloads. This is great for auditing your history or checking past extractions.

Can it tell the difference between a receipt and a contract?

Yes, it uses AI classification to automatically sort documents into categories. You can define these types, and the agent will sort them for you based on the content.

Do I need to manually upload every file?

No, you can submit publicly accessible URLs for documents. The agent will then trigger the extraction workflow automatically.

Can my agent create a new data extraction setup with custom fields?

Yes. Use the 'create_extraction' capability. Provide a JSON schema defining the fields you expect (e.g., 'total_amount', 'vendor_name'). The agent will return a new extractionId for document processing.

How do I process a PDF document using a specific extraction ID via chat?

Use the 'upload_file_url' capability. Provide the extractionId and the public URL of your PDF. The agent will trigger the workflow and return a documentId, which you can use with 'get_results' to fetch the data.

Can I see the predicted document type and confidence score through the agent?

Absolutely. Use the 'get_classification_results' capability with the document and classification IDs. The agent will retrieve the AI-predicted label (e.g., 'Invoice') and the confidence score for the processed file.

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