skills.rest
47network
47networkCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

batch-processor

Batch-process documents through OCR and entity extraction with per-document options.

5|Updated Apr 15, 2026
Search Tags:#ocr#batch#document-processing#data-pipelines#batch-processing#progress-tracking#entity-extraction
One-click install
npx skills add https://github.com/47network/Sven --skill batch-processor-47network
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: batch-processor
Source: https://github.com/47network/Sven/tree/main/skills/ocr/batch-processor
Command: npx skills add https://github.com/47network/Sven --skill batch-processor-47network

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Batch-processing of documents through OCR and entity extraction to automate document understanding. Many teams deal with large volumes of scanned documents. This skill enables scalable batch OCR pipelines with consistent results.

Core Features & Use Cases

  • Batch OCR processing across multiple documents with optional per-document options like extractEntities and summarization.
  • Progress tracking and consolidated batch results to monitor throughput and success rates.
  • Use cases include invoice processing, contract digitization, and archival scans where high-volume OCR and data extraction are required.

Quick Start

Batch-process documents through OCR and entity extraction to automate document understanding.

Frequently Asked Questions about batch-processor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run batch OCR processing across multiple scanned documents?▼

Batch OCR processing across multiple documents is handled by submitting deterministic inputs to a pipeline that applies per-document options like extract_entities and summarization, returning structured metadata with per-document results.

What is the best way to track progress for high-volume OCR data pipelines?▼

Progress tracking for high-volume OCR data pipelines is achieved through consolidated batch results that monitor throughput and success rates, providing live status updates and aggregated results for easy monitoring.

Can I apply entity extraction and PII redaction to specific documents in a batch?▼

Entity extraction and PII safe redaction can be applied to specific documents in a batch by setting per-document options, allowing you to configure extract_entities, summarize, and pii_safe flags individually within the workload.

Does batch OCR work for diverse document types like invoices and contracts?▼

Batch OCR for diverse document types like invoices and contracts is fully supported, enabling scalable batch processing across mixed formats to automate document understanding and digitization workflows.

How do I get structured results from a document processing batch?▼

Structured results from a document processing batch are returned as aggregated batch metadata, including the overall status and detailed per-document results for easy monitoring and downstream data integration.

Related Skills

Explore More Data & Analytics Skills→
eddie-292eddie-292
52

pdf

Extracts, fills, and transforms PDF documents for automation workflows.

Community
Advanced
sirius-zuosirius-zuo
1

analyzer

Analyze extracted facts and entities to identify patterns and significance.

Community
Intermediate
mdnaimul22mdnaimul22
2

pdf

Automates PDF text, table extraction, and form filling for documents.

Community
Advanced
JingyiWngJingyiWng

databricks-ai-functions

Call Databricks AI functions from SQL and PySpark pipelines.

Community
Advanced