How to Extract Read-Only Documents and Send Data to Any Target

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Workflow Name:

Extract Read Document and Send It to Any Target
AI Model Type:

Vision / OCR / LLM
Model Provider:

Goldfinch AI / OpenAI
Task Type:

Text Extraction
Input Type:

PDF / Image / Scanned Docs
Output Format:

JSON / TXT / CSV
Who Uses It:

Content Ops; Data Teams
Category:

Description

Problem Before:

Unreadable scanned documents
AI Solution:

OCR + language modeling
Validation (HITL):

Spot-check review
Accuracy Metric:

Character accuracy rate
Time Savings:

90% faster digitization
Cost Impact:

Reduced manual transcription

Extract Read Document and Send It to Any Target

This workflow enables Read Document Extraction from PDFs, images, and scanned documents using vision, OCR, and LLM models.

Automated Text Capture for Structured Data

The system extracts textual content, converts it into structured JSON, TXT, or CSV formats, and sends it to any target system. It helps content operations and data teams reduce manual effort, improve accuracy, and accelerate document processing workflows.

Watch Demo

Video Title:

How to Overcome Supplier & Fulfilment Challenges? – D2C No-Inventory Model Explained
Duration:

3:09

Outcome & Benefits

Accuracy:

99% OCR accuracy
Touchless Rate:

90%
Time Saved:

From 5m to 20s/page
Cost Saved:

$0.15 per page

Functional Details

Business Tasks:

Text digitization
KPI Improved:

Text accuracy; speed
Scheduling:

Batch / Real-time
Downstream Use:

Datalake / Search Index

Technical Details

Model Name/Version:

GPT-4o-mini Vision
Hosting Type:

Cloud API
Prompt Strategy:

Text-cleaning prompts
Guardrails:

Language detection checks
Throughput:

200 pages/min
Latency:

~0.8s/page
Data Governance:

No document retention

FAQ

1. What is the Extract Read Document and Send It to Any Target workflow?

It is an AI-powered workflow that uses vision, OCR, and LLM models to extract text and structured information from documents and send it to any target system.

2. How does the workflow work?

The workflow ingests PDFs, images, or scanned documents, applies OCR and LLM models to extract readable text and key data points, and exports the output in JSON, TXT, or CSV format to the configured target.

3. What types of documents can be processed?

It supports a wide range of documents including reports, forms, letters, manuals, scanned documents, and other text-based files.

4. What AI models are used in this workflow?

The workflow uses vision, OCR, and LLM models provided by Goldfinch AI and OpenAI to accurately read, interpret, and structure textual content.

5. What is the output of the workflow?

The extracted text and structured data is output in JSON, TXT, or CSV format and can be sent to Datalakes, CMS, analytics platforms, or downstream applications.

6. Who uses this workflow?

Content Operations Teams and Data Teams use this workflow to automate text extraction, reduce manual effort, and standardize document processing.

7. What are the benefits of automating document text extraction?

Automation improves text extraction speed and accuracy, ensures consistent data structuring, reduces manual errors, and enables seamless integration with downstream systems.

Case Study

Industry:

Publishing / Enterprise Docs
Problem:

Unreadable text data
Solution:

AI-powered OCR
Outcome:

Fully searchable documents
ROI:

1-month payback

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