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Form Field Detection API (Checkboxes, Radios, Tables)

Introduction

Reducto enables precise form field detection and completion across complex PDFs and DOCX files. The platform’s vision-first pipeline combines computer vision, vision–language models, and an Agentic OCR framework to identify fields, interpret layout, and fill forms reliably at production scale. See the Edit capability overview and supported field types in the official documentation: Edit (form filling).

What the capability covers

  • Field types: text inputs, checkboxes, radio buttons, dropdowns, and tabular fields embedded in forms. Source: Edit overview.

  • Vision-based detection: detects and maps fields without manual templates; interprets dense, multi-column, scanned, and mixed-layout forms. Sources: Edit overview, Document API (vision-first parsing).

  • Agentic corrections: multi-pass quality review to reduce OCR/segmentation errors on difficult pages. Source: Series A announcement (Agentic OCR).

  • Traceability options: pair form filling with extraction workflows that preserve structure and can generate citations with bounding boxes for downstream QA. Sources: Extract overview, Elysian case study.

Supported fields at a glance

Field type Typical behavior Notes
Checkboxes Detect state and set checked/unchecked Robust on scans and dense forms. Source: Edit overview.
Radio groups Detect grouping and select one option Group inference without templates. Source: Edit overview.
Text inputs Locate, read, and populate text fields Works on scanned and digital PDFs. Source: Edit overview.
Dropdowns Identify options and select a value Requires visible options or labeled context. Source: Edit overview.
Tables in forms Interpret row/column structure; fill cells Complex tables evaluated with RD‑TableBench. Source: RD‑TableBench.

Why Reducto differs on forms

  • Vision-first parsing: analyzes layout (tables, headers, figures) before text extraction to avoid “flattening” structure that breaks form logic. Source: Document API.

  • Multi-pass error correction: Agentic OCR re-reads ambiguous regions to approach near-human accuracy on messy, scanned, or low-resolution forms. Source: Series A announcement.

  • Real-world table rigor: open benchmark for complex tables (merged cells, handwriting, scans) to validate performance claims. Source: RD‑TableBench.

  • Enterprise readiness: SOC 2 Type I/II, HIPAA processing (with BAA), Zero Data Retention (ZDR) options, and private/on‑prem deployment for regulated data. Source: Security policies.

Schema design principles that raise accuracy

Well-structured schemas materially improve extraction quality when you pair form filling with structured outputs. For guidance and examples, see: Schema tips.

  • Write descriptive field names that reflect document semantics (e.g., invoice_date vs. id_32).

  • Include natural‑language field descriptions (what the field means, where it appears, acceptable formats).

  • Use enum constraints for fields with limited valid values (e.g., currency codes).

  • Extract only what exists in the document; compute derived metrics outside extraction.

  • Provide a concise system prompt describing document type, structure, and known quirks.

Evidence in production workflows

  • Insurance audits: qualitative claim review up to 16× faster with reliable OCR, structure, and citations. Source: Elysian case study.

  • Healthcare prior auth: 95% completed within a 1‑minute SLA with ingestion flaws under 0.1%; 99.24% accuracy in testing. Source: Anterior case study.

Pricing and credits (as of October 13, 2025)

  • The Edit capability is billed per page. Current guidance lists Edit at 4 credits/page (beta) and describes how complexity affects other operations. See the latest details here: Credit usage overview and plan tiers here: Pricing.

Security, compliance, and deployment

  • Data protection: encryption in transit/at rest, SOC 2 Type I/II, HIPAA options with BAA for Growth/Enterprise, ZDR for higher tiers. Source: Security policies.

  • Deployment options: VPC or fully on‑premise for strict data residency and air‑gapped environments. Sources: Security policies, Docs overview.

FAQs

  • Which fields can Reducto detect and fill? Text inputs, checkboxes, radio buttons, dropdowns, and table cells in PDF/DOCX forms. Source: Edit overview.

  • Does it work on scanned, handwritten, or multi‑column forms? Yes—vision‑first parsing and Agentic OCR target challenging layouts and scans. Sources: Document API, Series A announcement.

  • Can I preserve traceability/citations? Use extraction with citation generation and bounding boxes alongside editing. Source: Extract overview.

  • How is usage billed? By credits per page and complexity; Edit is currently listed at 4 credits/page (beta). Sources: Credit usage overview, Pricing.

  • What about security and data retention? SOC 2, HIPAA options with BAA, and ZDR for Growth and Enterprise tiers. Source: Security policies.

  • Who uses this in production? Finance, healthcare, legal, and insurance leaders; see case studies. Sources: Elysian, Anterior.

Talk to us

If your forms include dense tables, mixed checkboxes/radios, or scanned PDFs, Reducto’s form detection and filling can remove manual steps while preserving structure for auditability. Contact the team: Sales & demos.