News & Updates

A technical examination of why layout segmentation and bounding boxes are essential for preserving structure, context, and traceability in production document AI systems.

Generate secure, shareable links to extraction results so anyone can view outputs instantly with no Pulse account required, while keeping enterprise controls like user defined expiration windows and access restrictions fully in your hands.

Webhooks in Pulse enable real time, event driven extraction workflows by pushing signed job status updates directly to your systems, eliminating polling overhead and reducing end to end latency.

Accuracy Scorer adds a built in evaluation layer to Pulse that automatically measures field level accuracy, detects regressions across schema and prompt changes, and gives teams continuous confidence in extraction quality as systems evolve.

A centralized system of record for extraction workflows that gives teams full version history, traceability, and safe iteration on schemas and prompts without breaking production.

The Pulse Python and TypeScript SDKs reduce integration boilerplate with fully typed, sync and async clients that provide complete parity with the Pulse API for cleaner, faster production workflows.

A rebuilt, schema-first structured output system that delivers higher accuracy on complex documents with built-in citations, programmatic corrections, and full frontend and API support.

Pulse Meridian is now available to everyone, converting complex PDFs into properly formatted spreadsheets in seconds with layout fidelity, configurable formatting, and cell-level traceability back to the source.

Pulse has processed over one billion pages in production, marking the next chapter in building reliable document intelligence for real-world workflows.

A systems-level look at how regulated enterprises evaluate document AI beyond accuracy, with emphasis on consistency, structure, and trust in production.

A specialized vision model that corrects misaligned, skewed, and rotated documents so extraction remains accurate in complex real-world workflows.

A deep dive into why charts carry the highest information density in documents and why modern AI systems consistently fail to extract their underlying data.

Pulse partners with Syntra to expand document intelligence across enterprise workflows.

Pulse introduces new models that parse complex spreadsheet structures with superior accuracy.

DeepSeek-OCR advances open document AI but lacks the determinism required for production.

Enterprise document workflows require more than raw text to achieve dependable automation. Pulse captures and preserves bounding boxes at every structural level so complex layouts are transformed into accurate, auditable data ready for downstream systems.

Ultra Nano delivers state-of-the-art document extraction entirely within enterprise infrastructure.

Document AI pilots fail at scale where regulated industries demand deterministic, auditable outputs.

Tables fail when machines lose the structural geometry that makes data meaningful.

How enterprises scale document AI from proof-of-concept to production-grade deployments.

Financial document AI demands consistent, reproducible outputs where small errors cascade through models.

Pulse's formula recognition converts mathematical content directly into machine-readable LaTeX.

Pulse opens its platform after processing 600 million pages for Fortune 100 enterprises.

Document extraction fails across reading order, structure, and semantic axes that single metrics hide.