Data Post-Processing

Turn captured data into useful, actionable information for your business

Use post-processing to make inconsistent data clean and standardised

Turn captured data into information that supports your business operations with elDoc post-processing. Low-code tools help you refine and standardise data, while custom verification and cross-checking logic improve its consistency, cleanliness, and integrity.

 

Data post-processing adds value by refining information captured from different documents  

Data captured from different document sets may be inconsistent or contain missing values, duplicate records, noise and conflicting formats. Some values may also need verification against defined rules or trusted sources—for example, matching an approved list, confirming subtotals equal the grand total or checking a PO number pattern. Post-processing cleans, standardises and verifies captured data so it is consistent and useful for business operations.

Data Post-Processing

Validate Data Using Eldoc Post-Processing Capabilities

01

Verify and cross-check your data

Compare extracted data against predefined or referenced values and confirm, for example, that line items add up to the stated total.
02

Unify and standardise your data

Standardise extracted data by converting varied values, such as multiple date formats, into one target format.
03

Track & validate exceptions

Use a user-friendly interface to correct or adjust captured data that has not passed the post-processing rules

Create custom logic to post-process your data

Once data is acquired, you can review, validate and post-process it. elDoc’s low-code data post-processing tools let you create tailored verification and cross-checking rules to improve data consistency and integrity.

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Capture and validate data from PDF

Capture and validate data from PNG

Capture and validate data from JPEG

Capture and validate data from TIFF

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