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Diego Pérez Sastre

Diego Pérez Sastre

CTO et cofondateur d'anyformat

LinkedIndiego@anyformat.ai

Diego est cofondateur et CTO d'anyformat. Il a étudié à l'Universidad Politécnica de Madrid et a travaillé dans la division GenAI de Clarity AI avant de cofonder anyformat. Il dirige l'équipe d'ingénierie qui construit l'architecture parse-extract d'anyformat, dont l'extracteur agentique, le runtime de workflows (Studio), l'opérateur Smart Lookup et la couche de visual grounding. Il écrit sur l'infrastructure documentaire, les protocoles comme MCP et les décisions d'ingénierie derrière l'extraction de niveau production.

Articles

  • Flash Mode: Born-Digital PDFs, Without the Model Call

    21 septembre 2026· Most of the PDFs a back office processes were never scanned. The text is already in the file. Flash is the Parse mode that reads it straight from the text layer, with no model in the loop, at 7 credits a page instead of 25, and returns the same blocks, bounding boxes and confidence every other operator expects.
  • The 6 Best Rossum Alternatives in 2026

    21 septembre 2026· Looking for a Rossum alternative? We compare 6 tools on pricing transparency, custom fields without a labeling project, on-premise deployment and EU sovereignty.
  • The 9 Best Azure Document Intelligence Alternatives in 2026

    18 septembre 2026· The best Azure Document Intelligence alternatives in 2026, compared on custom fields without training, self-hosting, EU data control, evaluation tooling and price.
  • The 6 Best Nanonets Alternatives in 2026

    14 septembre 2026· Looking for a Nanonets alternative? We compare 6 tools on zero-shot extraction, on-premise deployment, EU sovereignty, evaluation tooling and pricing.
  • Knowledge Base: The Questions Your Schema Did Not Ask

    14 septembre 2026· Structured output answers the questions you knew to ask when you designed the schema. Every anyformat workflow now ships with a knowledge base that answers the ones you did not, and every answer cites the page and the region it came from.
  • LlamaParse vs Unstructured vs Reducto: Which One Fits Your RAG Pipeline?

    14 septembre 2026· A field-by-field comparison of the three AI-native tools teams reach for first when building a RAG or document-ingestion pipeline: LlamaParse, Unstructured and Reducto, plus where anyformat fits if the pipeline needs to end in a business system, not a vector store.
  • The 7 Best LlamaParse Alternatives in 2026

    10 septembre 2026· Looking for a LlamaParse alternative? We compare 7 tools on review workflows, confidence you can act on, air-gapped deployment and pricing.
  • Edit: Filled Forms, Without the Field Mapping

    1 septembre 2026· Document intelligence has always run in one direction: documents in, data out. Edit is the operator that writes back. Hand a workflow a blank form and get the completed PDF, with every field detected for you and nothing mapped by hand.
  • AWS Textract vs Google Document AI: Which One to Choose in 2026

    27 juillet 2026· A neutral, numbers-first comparison of AWS Textract and Google Document AI in 2026: measured OCR quality, pricing, page limits, custom extraction and EU residency.
  • The 8 Best AWS Textract Alternatives in 2026

    27 juillet 2026· Looking for an AWS Textract alternative? We compare 8 tools on custom fields without training, on-premise and air-gapped deployment, EU sovereignty and pricing.
  • The 8 Best Google Document AI Alternatives in 2026

    27 juillet 2026· The top Google Document AI alternatives in 2026, compared on custom extraction, EU data sovereignty, on-premise deployment, evaluation tooling and pricing.
  • The Best OCR APIs for Spanish-Language Documents (2026)

    27 juillet 2026· We compare seven OCR and data extraction APIs for Spanish-language documents: anyformat, Google, Azure, AWS Textract, ABBYY, Tesseract and Nanonets.
  • Evals: Change Your Document Workflows Without Fear

    21 juillet 2026· Every anyformat workflow now has a Health tab: build a dataset with known-correct answers, score any workflow version against it, and see exactly what got better and what broke, before production finds out.
  • Meet Annie, Your AI Doc Assistant

    30 juin 2026· Building workflows used to mean configuring every field by hand. Meet Annie: describe what you need in plain language, and she sets up the workflow and tunes it against your data. Setup drops from about 4 hours to around 5 minutes.
  • Your AI Stack Can Disappear Overnight. Now What?

    16 juin 2026· The US government just forced Anthropic to pull its two most powerful models offline. Everyone's saying 'diversify your providers.' That's necessary but not sufficient — and here's why.
  • Smart Lookup: Reference Data, Without the Brute Force

    11 mai 2026· Document intelligence is not just document parsing. Smart Lookup is the operator that turns reference data workflows from context-window gambling into structured, traceable queries.
  • anyformat Studio: Complex Document Workflows, No Complexity

    4 mai 2026· Studio is the canvas where document intelligence pipelines become visible, composable, and accountable. Today it's live, and this is what it changes.
  • ISO 27001:2022, Certified. The Trust Was Engineered Before the Audit.

    23 avril 2026· anyformat is now ISO 27001:2022 certified. The controls, the ISMS, and the architecture were engineered first. The certificate, audited by Prescient Security, confirms what was already in place.
  • Delve Got Caught Faking Compliance. We Chose the Slow Way on Purpose.

    25 mars 2026· The Delve scandal is exposing what happens when compliance becomes a product to ship fast rather than a promise to keep. At anyformat, we took the opposite path, and it's taking us months. On purpose.
  • OpenClaw Is Exciting. Your Documents Deserve Better Than Excitement.

    10 février 2026· The viral AI agent reveals what happens when autonomy outpaces architecture, and why document intelligence demands a fundamentally different approach.
  • AI Agents Don't Kill Document Processing. They Make It Inevitable.

    22 janvier 2026· There's a narrative that agents and LLMs will make documents obsolete. I think that's fundamentally wrong. Here's why document intelligence becomes the substrate layer for every autonomous system.
  • Model Context Protocol (MCP) and the AI-Native Era of Unstructured Data

    20 mai 2025· MCP is not “just another integration standard.” It fundamentally changes how AI interacts with unstructured data, turning documents into agentic conversations.

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