- LOW CONFIDENCE
- BATCH SUMMARY
- SINGLE JOB
- HUMAN REVIEW
Short answer
How can I check if my document extractions were accurate?
Your AI pulls the results and confidence scores from previous jobs to highlight where the data might be wrong. You can look at individual results or scan through large batches to spot patterns in low-confidence extractions.
Audit outcomes
Where your audit data lands.
The AI organizes your extraction history into these specific categories.
LOW CONFIDENCE
Flagged errors
The AI identifies jobs where the confidence score fell below your threshold. You get a list of specific fields that need a human eye.
BATCH SUMMARY
Grouped results
The AI pulls data from entire sets of extractions. This helps you see if a specific document type is causing repeated issues.
SINGLE JOB
Deep dives
The AI pulls the exact output for one specific extraction. Use this to verify a single piece of data against the original source.
HUMAN REVIEW
Manual verification
The AI presents the low-confidence fields in a clear format. You decide if the extraction is correct or if you need to fix it manually.
The workflow
What your AI does when the audit starts.
The AI handles the heavy lifting of fetching and filtering your extraction logs.
Fetch job data
The AI reaches into your history to grab the specific data points you asked about.
get_resultsScan large sets
If you need to check a whole group of documents at once, the AI pulls the entire batch's output.
get_batch_resultsAnalyze scores
The AI looks at the confidence scores for every field extracted in the requested jobs.
get_resultsget_batch_resultsIdentify outliers
The AI compares the scores to find the specific extractions that look suspicious or incorrect.
get_batch_results
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
Swap out the bracketed text with your specific job IDs or batch names.
Extracta Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_C65ttiBqS65NCFErwJyenYxrCFQRkfcwF5fUOGUO/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Extracta capabilities are ready to use.
{
"mcpServers": {
"extracta-mcp": {
"url": "https://edge.vinkius.com/vk_preview_C65ttiBqS65NCFErwJyenYxrCFQRkfcwF5fUOGUO/mcp"
}
}
}Show me the results for extraction job ID 98765.
Check the confidence scores for the last batch of invoices.
Find all extractions in batch 'Q3_Invoices' that have a confidence score below 0.8.
List the extracted fields for the most recent document extraction job.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Extracta once, then ask.
Just link your account once. Your credentials stay encrypted and secure, and you can immediately start asking your AI about your data.
Connect Extracta to your AIFAQ
How the audit works
- 01
Can the AI fix the errors it finds?
No. The AI can only read the extraction history and report on it. You must manually correct any data errors in your primary system.
- 02
Can I see the original images through the AI?
No. This Connector only provides access to the extracted text and the associated confidence scores.
- 03
Does the AI delete any of my extraction history?
No. The tools only allow the AI to read existing results. It cannot delete or modify your logs.
- 04
How does it know which extractions are wrong?
It uses the confidence scores provided by the extraction engine to identify fields where the AI was uncertain.
- 05
Can I audit a single document or only batches?
You can do both. You can pull results for one specific job or scan through an entire batch.
More questions about Extracta? See everything the Extracta Connector can do
Connect Extracta to Claude, Cursor, ChatGPT & more
