Saphirion automates technical drawing intake with Werk24, reducing manual workload and accelerating decisions

70%less manual data entry effort

95%accuracy on critical annotations

Minutes → Secondsper drawing intake time

Portrait of the Saphirion CEO highlighting Werk24 automation results

“Werk24 allows us to automate drawing intake and focus our engineers on value creation instead of data transcription.”

— CEO, Saphirion

The challenge

Saphirion’s teams were buried under repetitive intake tasks: interpreting title blocks, capturing tolerances, and checking notes. Every RFQ slowed down as engineers manually transferred PMI into ERP and PLM systems — and with high volumes, errors and inconsistencies crept in.

Manual bottleneck: engineers re-keyed metadata and PMI across systems
Data variability: every customer drawing used different conventions
Impact: throughput limited, costs rising, and quality gates inconsistently applied

The team needed automation to scale intake without sacrificing accuracy.

Why now

Scaling demand: accelerating business volume required standardized, scalable intake
Customer expectations: customers demanded faster RFQ turnaround without quality trade-offs
Focus on core: no appetite for building or maintaining fragile in-house parsers

The Werk24 solution

Automated intake & standardization

Werk24 processes PDFs and scans, extracts metadata, tolerances, threads, GD&T, and notes, and delivers structured JSON with confidence scores. Saphirion’s engineers use these results to trigger automated workflows instead of manually re-entering data.

Metadata (drawing no., rev, units, material, BOM)
Critical PMI: tolerances, GD&T, threads, surface finishes
Deterministic JSON or custom schema mapping into ERP/PLM

Integration into the stack

Werk24 was integrated via REST API & Python SDK. Webhooks push results into Saphirion’s ERP and costing tools, while confidence thresholds auto-accept routine fields and route exceptions for review. Higher-tier provisioning enabled zero-retention processing in the EU.

REST API + webhooks
Python SDK for batch runs
EU or US residency; zero-retention on higher tiers

Implementation in days

Day 1–2: trial key issued, sample drawings tested, schema defined
Week 1: first RFQ intake workflow live
Week 2: full rollout to ERP/PLM integration

No training data required to start; custom gates optional for feature-specific 99% accuracy.

Results

70%

less manual workload

Intake and transcription effort cut dramatically.

95%

accuracy

Standard annotations extracted reliably.

↓ errors

higher quality

Normalized PMI reduces misinterpretations.

Scale unlocked

faster RFQs

Quotes go out faster without adding headcount.

From developer: inside for developers: inside

Clean APIs, predictable JSON, confidences and webhooks. From PDF to production in hours instead of weeks.

            pip install werk24    # Install Werk24
werk24 init           # Obtain a trial license
werk24 health-check   # Verify connection

            from werk24 import read_drawing_sync, get_test_drawing, AskMetaData
print(read_drawing_sync(get_test_drawing(), [AskMetaData()]))

Tip: Use webhooks/callbacks for dark processing and confidence thresholds.

            {
    "ask_version": "v2",
    "ask_type": "META_DATA",
    "page_type": "COMPONENT_DRAWING",
    "identifiers": [
        {
            "reference_id": 0,
            "language": null,
            "value": "WK2401",
            "identifier_type": "DRAWING_NUMBER",
            "stakeholder": null,
            "period": null
        }
    ],
    "designation": [
        {
            "reference_id": 1,
            "language": null,
            "value": "ADAPTER"
        }
    ],
    "languages": [
        "ENG"
    ],
    "general_tolerances": null,
    "general_roughness": {
        "reference_id": 2,
        "label": "\u221a",
        "confidence": null,
        "standard": "ISO 1302:2002",
        "machining_allowance": null,
        "material_removal_type": "UNSPECIFIED",
        "applies_all_around": false,
        "direction_of_lay": null,
        "manufacturing_process": "",
        "conditions": [],
        "waviness": null
    },
    "material_options": [
        {
            "reference_id": 3,
            "material_combination": [
                {
                    "raw_ocr": "20MnCr5",
                    "standard": "DIN EN 10084",
                    "designation": "20MnCr5",
                    "material_category": [
                        "FERROUS_ALLOY",
                        "STEEL",
                        "STRUCTURAL_OR_CONSTRUCTIONAL_STEEL"
                    ]
                }
            ]
        }
    ],
    "weight": {
        "reference_id": 4,
        "value": "1.025",
        "unit": "kilogram"
    },
    "projection_method": {
        "reference_id": 5,
        "projection_method": "FIRST_ANGLE"
    },
    "bill_of_material": null,
    "unit_systems": [
        {
            "reference_id": 6,
            "unit_system_type": "METRIC"
        }
    ]
}

            {
    "ask_version": "v2",
    "ask_type": "FEATURES",
    "page_type": "COMPONENT_DRAWING",
    "dimensions": [
        {
            "reference_id": 0,
            "label": "12 ±0.1",
            "confidence": {
                "score": "0.96"
            },
            "quantity": 1,
            "size": {
                "value": "12",
                "unit": "mm",
                "size_type": "LINEAR",
                "tolerance": {
                    "tolerance_grade": "12",
                    "deviation_lower": "-0.1",
                    "deviation_upper": "0.1",
                    "fit": null,
                    "is_theoretically_exact": false,
                    "is_reference": false,
                    "is_general_tolerance": false,
                    "is_statistical": false
                }
            }
        }
    ]
}

Extract shortened - use the SDK for complete processing.

Read API documentation Request the API test key Test online

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