For Developers
Guides, tutorials, and real-world workflows for composable document and image processing.
Building Reliable File Processing Pipelines without Glue Code
A practical architecture framework for file processing pipelines: typed outputs, failure boundaries, retries, observability, and fewer integration seams.
RAG from Public Documentation Websites: Robots.txt, Terms, Retention, and Attribution
Public docs are tempting RAG sources. Before you ingest them, review robots.txt, terms, source attribution, retention, and update strategy.
Human in the Loop: Using Confidence Scores to Build Reliable Document Extraction
Fully automated document extraction fails without human oversight. Per-field confidence scores let you automate the obvious cases and route uncertain ones for human review.
Composable APIs vs. Point Solutions: Total Cost of Ownership for Content Processing
Multi-vendor stacks vs unified platforms — integration time, credential sprawl, billing reconciliation, and concrete TCO calculations for a typical 5-project agency.
Document-to-Markdown for RAG: Preparing Documents for Your AI Knowledge Base
Why markdown is the ideal format for LLM ingestion, how to preserve tables and layouts from PDFs, and how to build a document ingestion pipeline for RAG.
Extracting Structured Data from Scanned Documents: OCR Plus Field Validation
Scanned PDFs need more than OCR. Define a schema, extract typed fields with confidence scores, and validate results automatically — no regex, no templates.
Image Processing for E-Commerce: Resize, Watermark, and Optimize in One API Call
Marketplace image requirements are a mess. Chain resize, background removal, smart crop, and format conversion into a single request instead of maintaining an image pipeline.
Generating PDFs from JSON Instead of HTML: Why Templates Are a Dead End
HTML-to-PDF pipelines break in predictable ways. A JSON-defined document model gives you deterministic output, precise layout control, and no browser dependency.
Replacing Puppeteer, Sharp, and Tesseract with One API
The DIY content processing stack is a maintenance trap. Replace Puppeteer, Sharp, and Tesseract with composable API calls — no servers, no glue code.
Self-Hosted vs. Managed Document Processing: When to Build and When to Buy
An honest decision framework for choosing between self-hosted and managed document processing. When open-source wins, when APIs win, and how to evaluate the tradeoffs.
One Credit Pool, Every Format: Why Unified Billing Matters for Content Pipelines
Per-service billing creates waste and unpredictability. Unified credits across all operations let your budget flex with your actual workflow.
Why Your Image Pipeline Breaks at 3am and How to Fix It
Sharp memory leaks, Puppeteer zombies, ImageMagick CVEs, CMYK edge cases, and Docker OOM kills. Real errors, real causes, and a composable API alternative.