Raw data extraction
Everything in the document. No field setup.
Upload a PDF, scan or image and let Heyyel Data Extractor process the full document content without asking you to define individual fields first. Raw Data Extraction is the fastest way to get the information inside a document when you do not yet need a custom schema.
Why raw data
Start with the whole document, not a field schema
Sometimes you do not know in advance which fields matter. Sometimes you simply need access to everything contained in a PDF, scan or image. Raw Data Extraction removes the field configuration step so you can process the document first and decide what to do with the content next.
Process the full document
Capture the document content without defining a list of fields before processing.
Skip setup time
Useful when you want to start quickly and do not need a structured extraction schema yet.
Decide later
Review the extracted content first, then move to a more targeted extraction workflow if your use case requires it.
How it works
Raw data extraction in three simple steps
The workflow is intentionally simple because there is no field configuration stage.
Upload your document
Upload a PDF, PNG, JPG, WebP or TIFF file. Digital documents, scans and document images can all be processed.
Choose Raw data
Select Raw data instead of configuring an Invoice, Receipt, Contract, Bank Statement or Custom extraction schema.
Process the full content
Heyyel Data Extractor reads the document, using OCR when required, and returns the information contained in it without asking you to set up individual fields.
Use the result your way
If you later need specific structured values, you can switch to Custom Data Extraction and define exactly what should be returned.
Raw vs structured
When should you use Raw Data Extraction?
Raw Data Extraction and field-based extraction solve two different needs.
You want everything
Use Raw Data Extraction when the goal is to process the complete document content without configuring specific fields first.
Best for: exploration, document review, full-text access and workflows where the required fields are not known yet.
You know exactly what you need
Use a preset or custom extraction schema when you only need selected values such as invoice totals, contract dates or bank transactions.
For a deeper explanation of this distinction, see OCR vs Data Extraction.
OCR and full-document processing
Scanned document? Heyyel Data Extractor can still read it.
When a PDF or image does not contain machine-readable text, OCR can be used to recognize the visible content first. Raw Data Extraction then gives you access to the document information without requiring a field-by-field setup.
If you want to understand what happens between OCR, document reading and structured extraction, our guide on how AI document data extraction works explains the process in more detail.
Common use cases
Useful when the document matters more than the schema
Document review
Get access to the content of a document before deciding which information needs to be stored or analyzed.
Mixed document collections
Process documents with different layouts when one fixed extraction schema would be too restrictive.
Exploratory workflows
Start with the full document, understand what is available, then decide whether a more specific extraction workflow is needed.
Choose the right extraction mode
Need only specific fields instead?
If you already know what information you need, a document-specific extraction mode will usually give you a cleaner structured result. For example, Heyyel Data Extractor can extract selected fields from invoices, receipts, contracts and bank statements.
If your document does not fit one of those presets, Custom Data Extraction lets you define the fields yourself. You can also read our practical guide on how to extract specific data from a PDF when you are deciding between full-document and targeted extraction.
FAQ
Raw Data Extraction, explained
Raw Data Extraction processes the full document without requiring you to configure individual extraction fields first.
No. That is the main difference between Raw Data Extraction and field-based extraction. You upload the document and process the full content without defining a schema first.
Heyyel Data Extractor supports common document and image formats including PDF, PNG, JPG, WebP and TIFF.
Yes. OCR can be used when needed to read scanned documents and image-based files.
Use Custom Data Extraction when you only need specific fields or want a predefined structured schema. Use Raw Data Extraction when you want the full document content without field setup.
Heyyel Data Extractor uses a page-based credit model: one processed page uses one credit. You can review the current plans on the pricing page.
No setup required
Upload the document. Get the content.
Start with Raw Data Extraction when you need everything in the document and do not want to configure fields first.