Workflow stages
Questions about adding review, approval, and exception handling to extraction workflows.
Manual data entry
Lido helps teams replace manual document data entry with automation by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or business systems.
Scanned PDFs
Lido helps teams extract data from scanned PDFs accurately by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or exception queues.
Lido vs LLMs
Lido differs from Claude or ChatGPT by turning document extraction into a repeatable workflow with fields, review, validation, and exports.
Inconsistent extraction
Lido is a strong fallback when Claude gives inconsistent PDF extraction results because it adds stable schemas, review, validation, and clean exports.
Wrong columns
Lido helps fix wrong-column extraction by mapping fields to a stable schema, reviewing exceptions, validating rows, and exporting clean data.
Human review
Lido adds human review to AI document extraction with review queues, exception handling, approval steps, and export controls.
Invoice processing
Lido helps teams review low-confidence invoice extraction results before export by combining AI extraction, review, validation, and clean exports to spreadsheets, AP files, or ERPs.
Healthcare documents
Lido helps teams convert explanation of benefits PDFs into a spreadsheet by combining AI extraction, review, validation, and clean exports to review workbooks or healthcare workflows.
Healthcare documents
Lido helps teams extract insurance claim details from PDF forms by combining AI extraction, review, validation, and clean exports to review workbooks or healthcare workflows.
Healthcare documents
Lido helps teams review healthcare document extraction before sending data downstream by combining AI extraction, review, validation, and clean exports to review workbooks or healthcare workflows.
Healthcare documents
Lido helps teams extract billing codes from healthcare PDFs by combining AI extraction, review, validation, and clean exports to review workbooks or healthcare workflows.
Handwriting
Lido helps teams extract handwritten form data accurately by combining AI extraction, review, validation, and clean exports to spreadsheets, forms, or generated PDFs.
Human-in-the-loop
Lido helps teams set up a human-in-the-loop document extraction workflow by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or business systems.
Missing fields
Lido helps teams handle documents with missing fields in an automated workflow by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or business systems.
Error monitoring
Lido helps teams monitor errors in a document automation workflow by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or business systems.
Low confidence OCR
Lido helps teams handle low-confidence OCR results by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or exception queues.
Workflow maintenance
Lido helps teams add or change extraction fields after a document workflow is live by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or business systems.
Bottleneck diagnosis
Lido helps teams find the bottleneck in a semi-automated document workflow by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or business systems.
Exception handling
Lido helps teams handle unreadable or unclassified documents in an extraction workflow by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or exception queues.
Notifications
Lido helps teams send alerts when processing is complete or needs review by combining AI extraction, review, validation, and clean exports to spreadsheets, CSVs, or business systems.
Narrative documents
Yes. Lido can extract structured fields from long narrative proposal documents by using field definitions, custom instructions, review rules, and validation instead of table-only OCR templates.
Inbox automation
Set up rules that forward or route relevant emails into a document automation workflow, then let classification and extraction decide what each attachment needs next.
Document routing
Yes. A document automation workflow can classify incoming files by type, then route each class to the extractor, validation rules, and export path built for that document.
Missing fields
The safest workflow leaves missing fields blank or marks them for review instead of guessing, then uses required-field rules to decide whether the document can move downstream.
Extraction accuracy
Prevent false positives and false negatives by defining fields clearly, validating expected formats, testing real edge cases, and routing uncertain outputs to human review.
Review flags
Set review flags for missing required fields, failed validation, low confidence, unreadable pages, unclassified documents, and unusual values before exporting approved records.
High-volume automation
Automate intake, classification, extraction, validation, review routing, and export so staff handle exceptions instead of manually keying every document.
Manual keying
Reduce manual keying by automating repetitive extraction and routing, then reserving human effort for exceptions, corrections, approvals, and client-facing follow-up.
Extraction vs workflow
Data extraction pulls fields from documents; document workflow automation also handles intake, classification, review, validation, transformation, and downstream actions.
Reduce babysitting
Reduce babysitting by automating intake, routing, retries, validation, and exception queues so people only intervene when the workflow cannot confidently proceed.
Pre-extraction triage
Automate triage by identifying the intake source, classifying the document type, filtering irrelevant files, and routing each document to the right extraction path.
Cost savings
Turn extraction into cost savings by automating high-volume manual keying, reducing exception handling time, and measuring the operational hours avoided after rollout.
Operations capacity
Use automation to extract and validate repeatable document fields, then have operations staff focus on exceptions, follow-up, and higher-value work.