Apify Python SDK
Apify
Bright Data
Scraper API
ScrapingBee
Oxylabs
MapiLeads
EnsembleData
Mesu.ro
Ruler.im
ImageJ
Bluebeam Revu
STACK Takeoff Estimating
PlanSwift
On-Screen Takeoff
Active Takeoff
mesu.ro is a fully-featured, browser-based measurement tool for images and PDF files. No upload, no account, no installation required โ everything runs locally in your browser. Measurement tools: Distance, diameter, angle (works without scale), area, path/perimeter, and text annotations. All measurements are displayed in real-world units with pixel fallback when no scale is set. Scale calibration: Draw a line over any known reference, enter its real-world value and unit (mm, cm, inches, feet, or any custom unit). The last used value is remembered across sessions. PDF support: Load PDF files directly โ single-page PDFs open instantly, multi-page PDFs show a high-resolution page picker. Pages are rendered at ~430 dpi for precise measurement of technical drawings. Edge snap: Toggle sub-pixel edge detection (full Canny pipeline with Non-Maximum Suppression). The cursor locks onto detected contours with subpixel precision โ ideal for engineering drawings and schematics. Perspective correction (Rectify): Place 4 corner points to correct perspective distortion before measuring. True homography with automatic aspect ratio recovery. Pan & zoom: Mouse wheel zoom up to 20ร, click-drag pan, keyboard arrow navigation. A magnifier overlay shows a 5ร live zoom around the cursor for precise point placement. Export: Annotated image (PNG, JPG, WebP), CSV data table, PDF measurement report with scale info and measurement table. Save/load full project files (.mesuro) to resume work later. Interface: 5 languages (EN, FR, ES, DE, IT), dark theme, keyboard shortcuts for all tools, undo (50 levels), draggable measurement labels.
Apify Python SDK Mesu.roMesu.ro's answer:
-engineers -researchers -hobbyist
Mesu.ro's answer:
mesu.ro is the only tool that combines: Browser-based, zero friction โ open URL, drop image, measure. No account, no upload, no install PDF import with page selection โ direct load, rendered at 430dpi, no conversion step needed Edge snap โ Canny edge detection with NMS and subpixel interpolation, running entirely client-side in JS Perspective correction โ full homography, not just a crop or rotate Complete measurement suite โ distance, diameter, angle, area, perimeter, notes, all calibrated to real-world units Privacy by design โ images never leave the device, no server, no telemetry on the image data Multilingual โ 5 languages out of the box
Mesu.ro's answer:
mesu.ro wins on speed of access and zero friction. No download, no signup, no payment, no learning curve. For anyone who measures images occasionally โ checking a dimension on a photo, measuring a PDF plan, verifying a part from a SEM image โ the barrier to use is essentially zero.
Mesu.ro's answer:
Engineers, technicians, and researchers who receive images or PDF drawings and need to extract real dimensions from them. PCB designers checking component placement from a photo. Mechanical engineers measuring a part from a SEM or microscope image. Architects verifying dimensions on a scanned floor plan. They know what a scale is, they measure in mm, and they need a result fast without opening a dedicated software suite.
Mesu.ro's answer:
mesu.ro was born out of frustration. As an engineer, I kept needing to measure things in images โ parts, drawings, microscope photos. Every existing tool was either a $500 desktop app, a complex scientific suite, or a basic online tool that only did distance. So I built a single HTML file that did exactly what I needed. No server, no upload, no account. Just drop an image and measure. I added PDF support, edge snap, perspective correction, multilingual interface. At some point I realized I'd accidentally built the tool that should have existed all along. I put it online. A stranger sent $5 on Ko-fi three days later. That was enough.
Mesu.ro's answer:
A single HTML file. That's the whole stack โ no framework, no build tool, no dependencies bundled locally. Everything runs in the browser. The technologies inside that file: Vanilla JavaScript โ all measurement logic, canvas rendering, pan/zoom, undo, project save/load HTML5 Canvas API โ drawing the image, measurements, magnifier overlay, snap indicator PDF.js (Mozilla, via CDN) โ PDF parsing and high-resolution page rasterization jsPDF (via CDN) โ PDF report generation client-side Canny edge detection โ implemented from scratch in JS (Gaussian blur, Sobel, NMS, hysteresis, subpixel interpolation) Umami Analytics โ privacy-friendly, self-hosted compatible, no cookies Formspree โ feedback form backend, zero server required GitHub Pages โ hosting, free, zero infrastructure to manage
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To overcome these challenges, we will utilize the Apify SDK for Python and Residential Proxies, which enable us to route requests through legitimate devices, making our traffic indistinguishable from real users. - Source: dev.to / 8 months ago
Then add Apify SDK for Python as a project dependency:. - Source: dev.to / over 1 year ago
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