Everything you need to parse unstructured documents into clean, structured data—without templates, training data, or manual rules.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
The AI reads document structure by meaning and context, not pixel coordinates. New layouts work on the first upload without template creation or configuration.
Automatically detect table structures, map column headers, and extract row-level data—even when tables span multiple pages or lack visible borders.
Every parsed field includes a confidence score. Set thresholds to auto-approve high-confidence results and route uncertain values for human review.
Set up a dedicated intake address. Documents arriving as email attachments are parsed automatically without manual upload or intervention.
Export parsed data to Excel, Google Sheets, CSV, JSON, or XML. One-click download or continuous sync to connected spreadsheets.
Programmatic access with structured JSON responses, field-level confidence scores, and webhook notifications for async parsing pipelines.
The core problem with template-based parsing is maintenance overhead. Every new document layout requires a dedicated template—defining where fields appear, how tables are structured, and which labels correspond to which values. For organizations receiving documents from dozens or hundreds of sources, the template library becomes a project in itself.
Layout-agnostic parsing eliminates this entirely. The AI understands what a purchase order number is, where totals typically appear, and how line item tables are structured—regardless of the specific document format. A new vendor, a redesigned form, or an unfamiliar report format works immediately without any configuration.
For teams that have been maintaining parsing rules manually, the transition to AI-powered smart parsing removes an ongoing operational cost. For teams just starting, it means they can parse real documents within minutes of signing up, with no setup phase. Lido’s parsing engine adds AI columns so users can define custom extraction logic in plain English for fields unique to their business.
Template-based tools require manual setup for every document layout, mapping field positions to fixed coordinates on the page. When a supplier changes their format or a new document type appears, someone must build a new template. Layout-agnostic smart parsing uses AI to understand document structure by meaning and context, so any format works on the first upload without configuration. Lido’s parsing engine requires no templates, training data, or per-format rules.
Table extraction identifies row and column structures within documents, even when tables lack visible borders or use inconsistent spacing. The AI recognizes column headers, maps data to the correct columns, and handles multi-page tables that span across page breaks. This is essential for parsing invoices with line items, purchase orders with product lists, and financial reports with transaction rows. Lido’s smart parsing engine extracts multi-row tables and maps each column to the correct field automatically.
Confidence scores indicate how certain the AI is about each parsed value, expressed as a probability between 0 and 1. A score of 0.97 means the AI is highly confident, while 0.68 might indicate a blurry scan or ambiguous field. Teams set a threshold, for example 0.90, so that values above the threshold pass through automatically and values below it are queued for human review. This balances speed with accuracy.
Yes, AI columns let users define custom extraction rules in plain English. Instead of writing regex or mapping coordinates, describe what you need: “extract the delivery date from this purchase order” or “find the lot number on this certificate of analysis.” The AI interprets the instruction and applies it across all documents regardless of layout.
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