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The Opus Text Extraction task uses OCR (Optical Character Recognition) to pull text out of documents and images. Feed it a PDF, PNG, or JPEG, and it returns the text content—ready for processing by Opus Agent, Custom Agent, or other tasks in your workflow.

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Key Capabilities

OCR Processing

Extract text from scanned documents and images.

Multiple Formats

Works with PDF, PNG, JPEG, and JPG files.

Page-by-Page Output

For multi-page documents, get text from each page separately.

Ready for AI

Output flows directly to AI tasks for analysis.

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When to Use It

Use Opus Text Extraction when you need to convert documents or images into text your workflow can process:
  • Pull text from scanned invoices or receipts
  • Extract text from screenshots or photos
  • Convert PDFs into text for AI analysis
  • Digitize paper documents for processing
Opus Text Extraction outputs raw text. To extract specific fields (like amounts from invoices), follow it with an Opus Agent task to parse and structure the text.

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Supported File Types

FormatExtensions
PDF.pdf
PNG.png
JPEG.jpeg, .jpg
Only PDF, PNG, JPEG, and JPG formats are supported. Other file types will cause the task to fail. The maximum file size is 10 MB.

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Input

The File input accepts the document to extract text from. Only File (single) type is supported; multiple files are not currently supported.

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Synchronous Extraction

The Synchronous Extraction toggle (off by default) controls how the extraction is processed:
  • Off (Asynchronous): Supports multi-page PDFs. The extraction runs in the background and retrieves results when complete. Use this for documents with multiple pages or when processing larger files.
  • On (Synchronous): Returns results immediately in real-time. However, this mode only supports single-page documents. If you pass a multi-page PDF with synchronous extraction enabled, the extraction will fail.
For documents with varying page counts, keep synchronous extraction off to ensure reliable processing.

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How to Add Opus Text Extraction

1

Drop it into your workflow

Drag an Opus Text Extraction task into your workflow where you need to convert documents to text.
2

Connect the input file

Link the file input to a source—like a Workflow Input, Import Data task, or another task’s file output.
3

Name the output

Give the extracted text output a meaningful name so you can reference it in later tasks.
4

Connect to downstream tasks

Wire the text output to tasks that will process the content—like Opus Agent or Custom Agent.
5

Test it

Run a preview with a sample document to verify the extraction works correctly.
For multi-page PDFs, the output is a list where each item contains the text from one page. This makes it easier to process documents page by page.

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Tips for Better Results

OCR accuracy depends on input quality:
  • Use high-resolution scans (300 DPI or higher)
  • Make sure documents are properly aligned
  • Avoid blurry or distorted images
  • Ensure good contrast between text and background
OCR isn’t perfect—plan for errors:
  • Use Agentic Review to check extraction quality
  • Add Human Review for critical documents
  • Handle low-confidence extractions appropriately
Opus Text Extraction outputs raw text:
  • Use Opus Agent to parse into structured fields
  • Use Custom Agent to extract specific data points
  • Validate structure before further processing

Opus Agent

Process extracted text with AI reasoning.

Custom Agent

Parse extracted text into structured data.

Import Data

Pull documents from connected services.

Review Task

Validate extraction quality with human or AI review.