PDFFillr v1.0.0 — April 2, 2026

Full production release with OpenAPI 3.1 specification, TypeScript SDK, AI SDK, and 5 enterprise PE document connectors. Ready for production use with SOC 2 Type I compliance.


SDKs & API

@pdffillr/sdk

TypeScript SDK

TypeScript SDK with strict types, session management, and document flow helpers. Published to npm.

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@pdffillr/ai

AI SDK

AI SDK powered by Claude. Confidence scoring, conversational investor onboarding, multi-jurisdiction support: US, UK, Cayman, Luxembourg.

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OpenAPI 3.1

OpenAPI Specification

Full API specification with interactive Swagger UI. Live at pdffillr.ai/documentation/reference/sdk-ref-sessions

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Complete production release with comprehensive OpenAPI support, full-featured TypeScript and AI SDKs, and enterprise-grade PE document connectors for subscription documents, LP agreements, and regulatory filings.

TypeScript SDK (@pdffillr/sdk)

Multi-step investor onboarding

Session management for KYC → Subscription → LP sign-off workflows

✓ Added

Typed document helpers

Full TypeScript support for LP Agreement, Subscription, AML/CRS forms

✓ Added

Real-time SDK events

Event emitter for field completion, signature requests, and compliance flags

✓ Added

Application flow helpers

Built-in methods: startSubscription(), fillLPAgreement(), submitAML()

✓ Added

Feedback loop API

LP corrections and re-submission without re-uploading entire document

✓ Added

AI SDK (@pdffillr/ai)

Claude-powered field fill

AI-assisted document completion with reasoning engine and field validation

✓ Added

Conversational onboarding

Guided dialogue for KYC, FATCA, and subscription data collection

✓ Added

Auto-population from context

LP Agreement fields auto-populated from investor profile and session history

✓ Added

Confidence scoring

Per-field confidence scores — flags <80% for human review

✓ Added

Multi-jurisdiction support

US, UK, Cayman, Luxembourg fund structures with regulatory mapping

✓ Added

OpenAPI Specification

Full OpenAPI 3.1 spec

Published at /documentation/reference/sdk-ref-sessions with machine-readable schema for all PE investor document fields

✓ Added

Functional connectors

LP Agreement, Subscription Document, AML/CRS Declaration workflows

✓ Added

Swagger UI

Auto-generated reference with try-it-now support at /docs/reference

✓ Added

Key endpoints

/v1/sessions, /v1/documents, /v1/investor/*, /v1/investor/kyc

✓ Added

PE Document Connectors

Subscription Document

ILPA and custom fund manager templates — read/write

✓ Added

LP Agreement

Clause-aware extraction and version diffing — read/write

✓ Added

AML/CRS Declaration

FATF and CRS reporting standards for 50+ jurisdictions — read/write

✓ Added

Security & Compliance

AES-256 encryption at rest

All investor documents encrypted with industry-standard AES-256

✓ Added

TLS 1.3 in transit

All data encrypted in transit with TLS 1.3

✓ Added

Auto-purge policy

PE documents auto-purged after 24hrs by default — configurable via API

✓ Added

SOC 2 Type I audit

Completed — Type II audit in progress

✓ Added

Beta release featuring AI-powered chatbot for investor onboarding, expanded multi-page document support, and initial OpenAPI specification for beta partners.

New Features

AI chatbot beta

KYC and subscription data collection through guided conversation

✓ Added

Multi-page LP Agreement

Support for documents up to 120 pages

✓ Added

Draft OpenAPI spec

Beta partners received spec for feedback and testing

✓ Added

Dark mode UI

Full dark mode support across docs and portal

✓ Added

Improvements

AI field-fill accuracy +40%

Improved accuracy for AML/CRS declaration forms

↗ Improved

Onboarding flow reduced

Investor flow condensed from 6 steps to 3 steps

↗ Improved

Bug Fixes

Signature field misalignment

Fixed alignment issues on scanned LP Agreement PDFs

🔧 Fixed

Session timeout reset

Session timeout now properly resets during active multi-document flows

🔧 Fixed

Manual field entry

Implemented live preview and PDF export

🔧 Fixed

Initial alpha release with core PDF upload engine, intelligent field detection, and support for standard PE subscription document templates.

Initial Launch

Core PDF upload engine

Intelligent field detection and AcroForm analysis

✓ Added

PE subscription templates

Initial support for standard ILPA format documents

✓ Added

GitHub repository

Opened to internal contributors

✓ Added

Manual field entry

Live preview and PDF export capabilities

✓ Added

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