Lido PDF Data Extraction for Web Apps

Lido PDF Data Extraction, developed by Mary, automates capture of structured fields from unstructured PDF documents for data-entry and reconciliation workflows. The app uses template-free AI extraction and built-in OCR to parse invoices, receipts, contracts, and bank statements, exporting identified values into a spreadsheet-like review grid. It also ingests attachments via automated email parsing and connects with Excel, Google Sheets, and ERP systems for downstream processing. Target users include finance and operations teams, accountants, CPAs, and SMB owners who manage high document volumes and need reduced manual entry.

What tasks can you actually use it for?

Lido targets document-to-dataset conversion across accounts payable, procurement, and logistics operations. It produces columnar datasets from unstructured documents, enabling reconciliation, vendor posting, and spend analysis without repetitive rekeying. The in-browser review grid lets operators correct parsed fields before exporting records to other systems, which supports audit trails and staged approvals in financial workflows. Integrations forward reviewed records to common business systems, reducing handoffs between teams.

How accurate is the extraction on messy or low-quality scans?

The developer reports field-level accuracy above 99% and highlights better performance on scans that fail legacy OCR. That reported accuracy points to reliable parsing for many document types, but critical postings still benefit from human verification. The editable review environment and plain-English transformation rules give teams a way to correct misreads and tune rules before data is accepted by accounting or ERP systems.

What file formats does it accept and what are the input limitations?

Lido processes PDFs, images, and scanned documents using built-in OCR, and documentation indicates it can handle handwritten forms. The platform is delivered as a web application accessed from modern desktop browsers, so batch uploads and in-browser review are the intended workflows; there is no dedicated mobile application. Extremely redacted or unusually formatted files may still require manual extraction outside the tool.

Does it require technical knowledge to get useful results?

The product offers a no-code environment and plain-English rule definitions that let non-technical staff create extraction and transformation flows without scripting. Setting up automated inbox parsing and mapping exports to spreadsheets or ERPs requires account credentials and field-mapping decisions, so someone familiar with the company chart of accounts or target system schema helps. Teams should budget an initial tuning phase to align extraction behavior to vendor documents.

Lido suits document-heavy finance teams that pair automation with human verification

For groups that need to cut manual PDF processing and deliver reviewed datasets into reporting pipelines, Lido provides a practical automation path. Acknowledge the need for an initial tuning and verification phase on atypical or high-value records, which preserves a human-in-the-loop check. Use it where reducing repetitive entry while retaining controlled review is the goal.