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Datasheet Spec Extractor — AI for Mechanical Engineers

Turning hours of manual datasheet reading into a one-click structured table.

AI Automation n8n Workflow LLM · Structured Output Vibe Coding

Problem

Engineers routinely extract specifications from dozens of component datasheets (bearings, motors, actuators) by hand — copying dimensions, load ratings, and speeds into spreadsheets. It's slow, repetitive, and error-prone.

Solution

AI-assisted extraction workflow

An AI-assisted workflow that reads a component datasheet (PDF) and automatically extracts its key engineering specifications into a clean, structured table — ready for comparison and selection.

How it works

1

Upload

Drop in a component datasheet (PDF).

2

Parse

The text is extracted from the document.

3

Extract with AI

An LLM pulls out the technical parameters as structured data.

4

Export

Results are written to a structured table / Google Sheet.

Extracted Parameters

The model returns a consistent, schema-validated set of engineering fields for every datasheet:

Component type
Manufacturer
Part number
Dimensions
Weight
Material
Load rating
Max speed (RPM)
Operating temperature
Power / Voltage
Notes — IP rating, tolerance class, standards

Tech Stack

n8n automation LLM with structured (JSON-schema) output PDF text extraction Google Sheets API

Built with an AI-assisted ("vibe coding") workflow.

Try it live

Drop in a real component datasheet (PDF). The text is extracted in your browser and sent to the project's automation backend, which runs the AI extraction and returns the specifications as a structured table.

Drop a datasheet PDF here

or click to browse — no sign-up, no API key needed.

Working…

Extracted specifications

Outcome

Reduces a tedious, error-prone task to seconds, and shows how AI can be embedded directly into everyday mechanical-engineering workflows.

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