AI Recipe#
Overview#
AI Recipe provides powerful OCR (Optical Character Recognition) capabilities that enable developers to extract specific text and data from images and PDF documents with high precision. This category offers a structured approach to document processing by allowing you to create reusable "recipes" - predefined extraction templates that specify exactly which data fields to capture from documents with similar layouts or content structures.Parent Category: AI Recipe
APIs in this category: Recipe Builder, Fetch Build Recipe, Create Recipe, Recipe Executor, Add Attachment, List Recipes, Delete Recipe
Key Capabilities#
Main Functionality
AI Recipe enables precise text extraction from images and PDFs through customizable extraction templates (recipes) that can be created once and reused across multiple documents with similar structures, significantly improving efficiency and accuracy in document processing workflows.
Custom Data Extraction
Define specific keys and data fields you need to extract from documents, allowing for targeted information retrieval rather than processing entire documents.
Reusable Extraction Templates
Create and save extraction recipes that can be reused across multiple documents with similar structures, eliminating the need to reconfigure extraction parameters for each document.
Recipe Management
Easily manage your library of extraction recipes with capabilities to list, retrieve, and delete recipes as your document processing needs evolve.
Common Use Cases#
Automated extraction of transaction details from invoices and receipts
Processing financial statements and extracting specific line items
Extracting data from standardized financial forms and applications
Integration Considerations#
Best Practices
Create specific, well-defined recipes with clear key names that match the data structure you need
Test your recipes with various document samples to ensure consistent extraction results
Consider document quality when designing recipes - higher quality images yield better extraction results
Implement error handling to manage cases where extraction might be incomplete
Extraction accuracy depends on document quality, clarity, and formatting
Complex tables or highly variable document layouts may require multiple specialized recipes
Very large documents may require additional processing time
Handwritten text extraction may have lower accuracy compared to printed text
How APIs in this Category Work Together#
The AI Recipe APIs form a cohesive workflow for document data extraction, from creating reusable extraction templates to applying them across multiple documents and managing your recipe library.Key Integration Patterns:Create Recipe + Recipe Executor: First create a recipe defining extraction parameters, then use that recipe ID to process multiple documents with the same structure
List Recipes + Recipe Executor: Review your available recipes and select the appropriate one for processing a specific document type
List Recipes + Delete Recipe: Manage your recipe library by reviewing existing recipes and removing outdated ones
A typical end-to-end workflow begins with creating a recipe that defines the specific data fields to extract from a document type (e.g., invoice number, date, total amount). Once created, this recipe can be applied to process hundreds of similar documents using the Recipe Executor API, which returns structured data according to your recipe's specifications. As your needs evolve, you can manage your recipe library using the List and Delete Recipe APIs, ensuring you maintain only the recipes relevant to your current document processing requirements.AI Recipe complements other data processing and document management API categories by providing specialized extraction capabilities that can feed into broader document workflows and data processing systems.Related Categories include:Document Processing: AI Recipe provides specialized extraction capabilities that complement broader document processing workflows
Data Transformation: Extracted data from AI Recipe can be further processed and transformed for integration with other systems
Content Analysis: Data extracted via AI Recipe can feed into content analysis systems for deeper insights and pattern recognition
The AI Recipe category serves as a critical bridge between raw document content and structured data systems. While document processing APIs might handle the initial document intake and preparation, AI Recipe extracts specific data points that can then be fed into data transformation services to normalize formats or content analysis systems to derive insights. This creates a powerful pipeline from unstructured documents to actionable business intelligence.Create documentation that is professional, technically accurate, comprehensive but concise, clear and easy to understand, and helpful for developers to quickly grasp the purpose and value of this API category.