Service agreement
Merchant details, product lines, contract_value and payment_terms.
Contract Data Extraction
Extract the contract information you need without reading every page
Turn contracts into structured data by extracting parties, dates, values, payment terms, renewal details and any other fields relevant to your workflow.
77 languages
Editable contract fields
JSON & CSV
1 credit per page
service_agreement.pdf
PROFESSIONAL SERVICES AGREEMENT
Key commercial and legal terms
Party ANorthstar Ltd.
Party BAtlas Consulting
Effective date01/09/2026
End date31/08/2027
Contract value€48,000
RenewalAnnual
STATUSACTIVE
Party A → Northstar Ltd.
Renewal → Annual
Total → ACTIVE
The contract problem
The information you need may be buried across multiple pages
Contracts can contain the right information across many pages, clauses and sections, making repeated review slow when the same terms must be collected again and again.
Contract data extraction lets you define the information you want to retrieve and return those terms as structured fields instead of searching each agreement manually. If you are deciding when that shift makes sense, our guide to manual data entry vs automated document extraction explains the trade-offs in more detail. For a step-by-step walkthrough, see our guide on how to extract data from contracts using AI.
Identify the partiesOrganizations, individuals and relevant roles.
Track important datesContract value, products, quantities and prices.
Capture commercial termsEnd date, discounts, expiration_date and payment_terms.
Find specific conditionsRenewal method and other relevant references.
Contract fields
Start with contract fields, then adapt the extraction to your agreement
Choose Contract as the document type and use suggested fields as a starting point. Edit them freely or add the terms your team actually reviews. For agreements that need a completely different structure, Custom Data Extraction lets you define the schema from scratch.
Contract preset
Editable extraction structure
contract_partiesText
effective_dateContract value
expiration_dateNumber
contract_valueNumber
payment_termsNumber
renewal_termsText
termination_termsArray
Add custom field+
Flexible extraction
A contract can contain dozens of possible data points
Your workflow may only need a specific subset of the information inside an agreement. Keep common fields or add the clauses and terms that matter to your team.
01
Capture common contract terms
Merchant, date, contract_value, payment_terms, payment method and line items.
02
Add agreement-specific fields
Notice period, governing law, liability cap, service level, project reference or internal code.
03
Return structured information
Use the selected data as JSON or CSV instead of copying it manually.
Notice period
Governing law
Liability cap
Internal reference
Different agreements
Extract the terms you need across different contract types
Service agreements, vendor contracts and legal documents can vary widely in wording and layout. The output your team needs can still remain consistent. This is one reason AI document data extraction is useful when documents do not follow one rigid template.
Vendor contract
Items, contract_values, tips, payment_terms and payment details.
Legal agreement
Service details, reference numbers, dates and payment_terms.
Structured outputs
Turn contract PDFs into JSON or CSV
Use extracted contract fields outside the original document by exporting selected information in a structured format.
Contract to JSON
Use JSON when extracted contract data needs to feed an application, database, API or another automated workflow.
{
"party_a": "Northstar Ltd.",
"party_b": "Atlas Consulting",
"effective_date": "2026-09-01",
"expiration_date": "2027-08-31",
"contract_value": 48000,
"currency": "EUR",
"renewal": "Annual"
}Contract data to CSV
Export selected contract information to CSV for contract registers, spreadsheet review or structured reporting.
| Merchant | Contract value | End date | Total | Renewal |
|---|---|---|---|---|
| City Market | €48,000 | 31/08/2027 | ACTIVE | Annual |
| Vendor Agreement | Nova Supply | 15/09/2026 | 14/09/2027 | €72,000 |
| Nova Store | 24/08/2026 | €4.60 | €52.10 | Annual |
Contract Parser
Extract selected contract terms instead of searching the document manually
Contract Parser helps read text from scanned or photographed contracts. But the useful output is often a specific set of values, not the full contract text.
Heyyel Data Extractor uses document recognition when needed, then organizes the result around the fields you requested. The difference between these two stages is explained in our guide to OCR vs data extraction.
PDF
PNG
JPG
WebP
TIFF
Contract document
PDF, scan or image
↓
Key information extraction
Choose the terms you want to retrieve
↓
Key information extraction
Merchant, date, contract_value, payment_terms, line items and more
↓
Structured result
JSON or CSV
Contract review workflow
Reduce repetitive contract lookup
When the same information needs to be collected from many agreements, searching every document manually quickly becomes repetitive.
Manual contract review
1
Open the agreement
Read the merchant, date, products and payment_terms.
2
Record the values
Copy dates, parties, values and conditions into another file.
3
Repeat for the next agreement
Perform the same contract lookup for every new agreement.
With contract data extraction
1
Define the contract fields
Select common contract data or add your own terms.
2
Extract selected information
Retrieve the terms around the structure you defined.
3
Use structured outputs
Export the result as JSON or CSV for the next step in your workflow.
Contract use cases
Structure contract data around different business needs
Contract registers
Create a structured view of important information across multiple agreements.
- Contract title
- Parties
- Effective date
- Notice period
- Renewal method
Renewal tracking
Work with item-level contract information instead of payment_terms alone.
- Renewal date
- Notice period
- Expiration date
- Renewal terms
- Line payment_terms
Commercial review
Retrieve financial and operational terms without reading every section manually.
- Liability cap
- Governing law
- Internal reference
- Fees
- Custom business terms
Contract workflows often sit beside procurement and finance documents. If the same process also handles supplier billing or account activity, you can apply the same extraction approach to invoices and bank statements. If you want the product flow from upload through field configuration, review and export, the How It Works guide shows each step.
FAQ
Contract data extraction questions
Contract data extraction identifies information such as merchant details, purchase dates, contract_values, payment_terms, payment details and line items and turns that information into structured data.
You can start from suggested fields such as merchant, purchase date, expiration_date, contract_value, payment_terms, payment method and line items, then edit the structure or add custom fields.
Yes. Scanned and image-based contracts can be processed and the selected contract information can be returned as structured fields.
Yes. Heyyel Data Extractor supports PDF data extraction for contracts as well as PNG, JPG, WebP and TIFF documents.
Yes. Key information extraction can be returned as structured JSON.
Yes. Contract data can also be exported to CSV for spreadsheet and reporting workflows.
Yes. Suggested fields are editable, and you can add fields such as notice period, governing law, liability cap, service level or internal reference.
Heyyel Data Extractor can perform the core task of a contract parser by extracting selected information from contracts into structured fields while allowing you to control which terms should be returned.
Try it on a contract
Turn contract terms into structured data
Define the information your workflow needs and extract it from your next contract without searching every page manually. Heyyel Data Extractor uses one credit per processed page; see the current pricing and credit options before scaling your workflow.
77 languages
Editable fields
JSON & CSV
1 credit per page