Mesu.ro's answer

-engineers -researchers -hobbyist

Mesu.ro's answer

mesu.ro is the only tool that combines: Browser-based, zero friction — open URL, drop image, measure. No account, no upload, no install PDF import with page selection — direct load, rendered at 430dpi, no conversion step needed Edge snap — Canny edge detection with NMS and subpixel interpolation, running entirely client-side in JS Perspective correction — full homography, not just a crop or rotate Complete measurement suite — distance, diameter, angle, area, perimeter, notes, all calibrated to real-world units Privacy by design — images never leave the device, no server, no telemetry on the image data Multilingual — 5 languages out of the box

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTok’s auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.

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 — checking a dimension on a photo, measuring a PDF plan, verifying a part from a SEM image — the barrier to use is essentially zero.

TranscriptFetch's answer:

Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.

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.

TranscriptFetch's answer:

Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.

Mesu.ro's answer

mesu.ro was born out of frustration. As an engineer, I kept needing to measure things in images — 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.

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.

Mesu.ro's answer

A single HTML file. That's the whole stack — no framework, no build tool, no dependencies bundled locally. Everything runs in the browser. The technologies inside that file: Vanilla JavaScript — all measurement logic, canvas rendering, pan/zoom, undo, project save/load HTML5 Canvas API — drawing the image, measurements, magnifier overlay, snap indicator PDF.js (Mozilla, via CDN) — PDF parsing and high-resolution page rasterization jsPDF (via CDN) — PDF report generation client-side Canny edge detection — implemented from scratch in JS (Gaussian blur, Sobel, NMS, hysteresis, subpixel interpolation) Umami Analytics — privacy-friendly, self-hosted compatible, no cookies Formspree — feedback form backend, zero server required GitHub Pages — hosting, free, zero infrastructure to manage

TranscriptFetch's answer:

Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.