Capture and Extract Text Instantly with iOS Document Scanning SDK

Yes—our layout-aware parsing understands headers/footers, multi-column text, and mixed content blocks so the reading order stays accurate. You get clean, usable text from camera scans without building brittle “unscrambling” rules. This reduces QA time and prevents downstream extraction bugs.

It reliably reconstructs tables as structured Markdown, preserving rows and columns instead of flattening everything. That makes it easy to compute totals, validate line items, or sync data to your database. You’ll spend less time writing custom table parsers for each template.

Yes—output can be returned as JSON with page numbers and coordinates for each extracted element. This lets you map results back to the scanned image for tap-to-verify experiences and reviewer workflows. It’s a practical way to build trust when extraction confidence is low.

Auto Mode routes straightforward pages through faster parsing, then escalates challenging scans to higher-accuracy processing when needed. This helps you maintain a snappy mobile experience while still handling edge cases gracefully. You get better results without constant tuning or per-document rules.

Auto Mode is designed to control cost by using lightweight parsing when it’s sufficient and only spending more on difficult pages. That keeps throughput high for typical scans while protecting accuracy on the tricky ones. You can scale ingestion without choosing between speed and quality.

If you already capture scans in your app, you can plug in our parsing step and start returning clean text, tables, or JSON outputs without reworking your UI. Most teams begin with one output format (text or JSON) and expand as needed. It’s an easy way to ship a better scanning experience fast and iterate confidently.