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Mindee

Mindee

Document Processing
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Mindee turns paper and PDF documents into structured data developers can trust. Send invoices, receipts, IDs, or custom forms to prebuilt or trained models and receive clean fields with confidence scores. Human-in-the-loop review handles edge cases, while webhooks, SDKs, and queues make integration straightforward. Privacy, versioning, and monitoring keep operations predictable so finance, logistics, and onboarding workflows stay accurate and fast. Thresholds can evolve with evidence.

Features

1

Prebuilt Models for Common Docs

Start quickly with models for invoices, receipts, IDs, and more—date, amount, vendor, and line items arrive normalized. Confidence scores and bounding boxes help you decide when to accept automatically or route to review. Locale-aware parsing understands formats such as VAT numbers and currencies, reducing custom rules you would otherwise maintain. Handwritten or faded inputs get special handling, and multi-page order keeps statements and manifests grouped correctly.

2

Custom Training for Your Forms

Label samples in a browser and train models for the layouts you see most. Versioned deployments let you improve accuracy over time without breaking existing integrations or SLAs. Active learning targets low-confidence examples first, speeding improvement where it matters operationally. Canary deployments compare accuracy on a slice of traffic before a full rollout, while keyboard-friendly tools accelerate annotation sessions for large backlogs of forms.

3

Validation, Review, and QA

Set business rules for totals, taxes, and required fields; route exceptions to reviewers with the image and prediction side by side. Edits feed back into datasets so next runs improve with real edge cases. Audit trails capture who changed what and when, and sampling tools verify quality statistically across document types. Thresholds trigger secondary checks only when needed, controlling cost while keeping precision high; dashboards spotlight misses and guide fixes.

4

APIs, SDKs, and Webhooks

Use REST APIs, official SDKs, and event webhooks to push results into ERPs, CRMs, or queues. Batch endpoints, retries, and idempotency keys keep throughput high and duplication low during spikes. Field-level JSON maps predictably to downstream systems, reducing glue code and maintenance over time. Throughput scales with queues and parallel workers, while signed webhook retries make integrations resilient and verifiable inside busy pipelines.

5

Security, Privacy, and Compliance

Data is encrypted in transit and at rest; retention windows and redaction protect sensitive PII. Access keys and roles scope who can view results, and private deployments keep data residency under your control. Dashboards monitor usage and drift, and alerts flag anomalies before accuracy impacts customers. Regional hosting and private networking satisfy residency needs, and role-based permissions keep duties separate for audits and compliance checks.

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Recomended For

Recommended for product teams, fintechs, operations, and SIs replacing manual entry. Mindee’s prebuilt models accelerate common use cases while custom training handles niche layouts, all backed by review workflows. Developers integrate quickly with SDKs and webhooks; operators trust validation rules and audit trails that make accuracy a manageable target. Partners package models and queues into repeatable solutions for regulated clients without heavy custom code.

What it solved

Transcribing documents by hand slows processes and invites errors. Mindee extracts structured fields, routes edge cases to review, and learns from corrections so accuracy rises with usage. The result is faster approvals, cleaner analytics, and lower costs—data lands in the right systems while privacy and governance remain intact. As correction loops feed learning, confidence thresholds increase over time, allowing more automation without giving up reliability.

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