Laserhub lifts quoting speed and pricing accuracy with Werk24’s engineering-grade PMI extraction
“The precision of our cost calculation strongly relies on Werk24’s PMI extraction — and we encounter almost no files where the tolerances of threads are not correctly extracted from technical drawings.”
— Christoph B. Roessner & Adrian Raidt, Co-Founders, LaserhubThe Challenge
Online manufacturers compete on speed, accuracy, and throughput. Laserhub’s engineers were spending 30–90 minutes per drawing interpreting PDFs, transcribing PMI, and normalizing units — time that should have gone into pricing strategy and customer value.
- High variability: every customer uses different title-block and PMI conventions
- Hidden risk: tight tolerances, special threads, or roughness calls could be missed under time pressure
- Scale limit: throughput was capped by headcount; quoting speed dipped during peaks
For a business built on instant, accurate quotes, manual reading was a structural bottleneck and a margin risk.
Why Now
- More drawings, more variability: growth amplified the parsing burden
- Customer expectations: fast quotes with precise, transparent cost drivers
- No appetite for template maintenance: solution must work on scans, not just perfect PDFs
The Werk24 Solution
Engineering-grade extraction for mechanical drawings
Werk24 reads 2D mechanical drawings (components & assemblies) — including acceptable scans and hand-drawn engineering drawings — and returns structured JSON with field-level confidence scores. We extract title-block metadata and feature data like dimensions, upper/lower tolerances, GD&T, threads, and surface roughness.
- Unit normalization and symbol mapping (DIN/ISO/ASME where applicable)
- Deterministic schemas or custom output that matches Laserhub’s pricing fields
- Quality gates to push accuracy up to 99% on critical features
Integration that fits the stack
Laserhub integrated via HTTPS webhooks and the Python SDK. Confidence thresholds auto-accept routine fields and route edge cases for review. No middleware was required: Werk24 shipped a custom schema mapping so payloads drop straight into the pricing engine.
- REST API + webhooks for lights-out processing
- Python SDK for pipelines and batch runs
- Data residency choice: EU or US; higher tiers support zero-retention
See it in action
Download assets
Implementation in days, not months
- Day 1–2: trial key, sample drawings, output schema defined
- Week 1: first workflow live (RFQ intake), confidence thresholds tuned
- Week 2+: rollout to pricing; optional quality gate for high-impact features
No labeled training data required — unless you request a custom quality gate.
Results
faster quotes
PMI extraction down to seconds per page.
accuracy on price-driving features
95% out of the box, 98% after onboarding; up to 99% with custom quality gates.
higher cost precision
Normalized tolerances & units reduce misreads.
throughput uplift
Scale quoting without adding headcount.
By developers, for developers
Clean APIs, predictable JSON, confidence scores, and webhooks. Go from PDF to production in hours, not weeks.
pip install werk24 # Install Werk24
werk24 init # Obtain a trial license
werk24 health-check # Verify connection
Ready to see it on your drawings?
Try the online demo or request a trial API key (100 drawings).