Software Alternatives & Startups

Read Your Scan VS Gitql

Compare Read Your Scan VS Gitql and see what are their differences

Read Your Scan

See your MRI, CT or X-ray in a real 3D viewer, free in your browser. Understand it with AI in plain language, or map your radiologist’s report onto the images. Keep every exam in one place and share it privately.

Rating
0 reviews
Pricing
Freemium $9 / Usage
Gitql

Git query language, for quickly searching git contents.

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Health And Medical popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Read Your Scan
Gitql
Website readyourscan.com github.com
Pricing
Freemium $9 / Usage Official pricing
—
Company Startup from Estonia —
Listed in

Features and specs

What each product offers, as listed by its team.

Read Your Scan 5 features
Gitql 0 features
  • Plain‑language scan report
    Frontier vision AI reads the actual pixels and writes a patient‑readable report — what was seen, what it likely means, what to ask your doctor.
  • Findings pinned to the image
    Every finding carries a series + slice + millimetre coordinate; one click jumps the crosshair to it on the scan. Wrong marker? Drag‑correct it.
  • Radiology report decoder
    Paste or upload the report you were given; each line is mapped onto your images with a severity rating and a Key Findings list.
  • 3D DICOM/NIfTI viewer
    Free, no account. Multiplanar + 3D volume render, window/level, colormaps, pan/zoom, section cut. Runs in the browser — files never leave your device.
  • Shareable link
    Revocable public or private link that opens on the exact screen you were on — same series, zoom, slice and highlighted finding. Read‑only, nothing writable.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

Read Your Scan
Gitql

No analysis of Read Your Scan yet.

Overall verdict

  • GitQL is a solid choice for developers who want to query Git repository data using SQL-like syntax, offering a fast and intuitive way to analyze commits, branches, and repository metadata without learning a new query language, though it's a specialized tool best suited for specific use cases rather than general-purpose development.

Why this product is good

  • Allows querying Git repositories using familiar SQL syntax, reducing the learning curve
  • Open-source and actively maintained on GitHub with community contributions
  • Written in a performant language (often Rust or Go depending on version), making queries fast even on large repositories
  • Useful for extracting insights like commit history, contributor stats, and branch information
  • Lightweight and focused tool that does one thing well rather than trying to be a bloated all-in-one solution
  • Cross-platform compatibility for use across different operating systems

Recommended for

  • Developers who want to analyze Git repository data without writing custom scripts
  • Data analysts or engineers who prefer SQL syntax for querying non-traditional data sources
  • Teams needing quick insights into commit patterns, contributor activity, or repository structure
  • DevOps engineers automating repository audits or reporting
  • Open-source enthusiasts comfortable with command-line tools
  • Users who need a lightweight alternative to complex Git analytics platforms

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Read Your Scan
Gitql
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
Git
100% 100%

Questions & Answers

As answered by people managing Read Your Scan and Gitql.

What makes your product unique?

Read Your Scan's answer

Most tools that "explain your scan" only read the text of the radiology report. Read Your Scan reads the images.

You drop in the DICOM folder from your hospital CD (or a NIfTI file) and get two things at once: a real 3D viewer of your own scan in the browser, and a plain‑language report where every finding is pinned to the exact series, slice and coordinate where it was seen. Click a finding and the crosshair jumps there. If the marker is off, you can correct it and it re‑saves.

Why should a person choose your product over its competitors?

Read Your Scan's answer

The alternatives fall into two camps, and neither closes the loop.

General AI chatbots will happily explain your report, but they can't open your scan. They work from a paragraph of text, so they can never show you where — and pasting your report into a general chatbot is a data decision most people haven't really made.

Professional viewers and PACS tools open the images beautifully, but they were built for radiologists. They explain nothing, and you need a license.

How would you describe the primary audience of your product?

Read Your Scan's answer

People who just had an MRI, CT or X‑ray and are holding two things they can't use: a CD full of DICOM files no consumer computer will open, and a report written for another doctor.

The sharpest segment is spine patients — cervical and lumbar — because their reports are dense with level‑by‑level findings ("C5‑C6 disc protrusion with mild canal stenosis") that mean everything to their prognosis and nothing to them. Around them: family members and caregivers reading a relative's scan, people preparing for a second‑opinion consultation who want to arrive with questions, and patients in the gap between the scan and the follow‑up appointment — often two or three weeks of silence.

There's a meaningful secondary audience of students and non‑radiologist clinicians who use the free viewer as a fast way to open a study.

Geographically it's global rather than US‑centric — the product ships in 9 languages because a large share of the demand isn't English‑speaking.

What's the story behind your product?

Read Your Scan's answer

It started as a free 3D DICOM viewer — a small tool to solve an absurd problem: hospitals hand you a CD of your own body and no way to look at it.

What turned it into a product was watching what patients already do. In spinal‑stenosis support groups, people post photographs of their MRI to hundreds of strangers with the caption "is this bad?" They're not being reckless — they've been handed a document about their own body that they can't read, and they'll take an answer from anyone. The cost is that their scan, sometimes with their name burned into the corner of the image, is now public forever.

Read Your Scan is the private, instant, better‑informed version of that impulse: an AI that actually reads the pixels, points at the finding on the scan, explains it in your language, and — if you do want to show someone — lets you anonymize it first and send a revocable link instead of a public post.

Swap the first paragraph for your own origin moment if there was one (your own scan, a family member's). SaaSHub story answers read much better with a specific person in them, and that's the one detail I can't write for you.

Which are the primary technologies used for building your product?

Read Your Scan's answer

Frontend / app: Next.js 15 (App Router), React 19, TypeScript, Tailwind CSS v4.

Imaging: NiiVue for WebGL volume rendering, @niivue/dcm2niix compiled to WebAssembly for DICOM→NIfTI conversion entirely in the browser, nifti-reader-js, and Tesseract.js (self‑hosted, no CDN) for OCR‑based redaction of burned‑in text.

AI: Anthropic Claude, Google Gemini / MedGemma, and additional models via OpenRouter, used for vision analysis, report generation, grounded Q&A and translation.

Backend / infra: Supabase (Postgres with row‑level security, Auth, Storage), Stripe for credit purchases, Resend for transactional email, and Node.js on a VPS under PM2 behind Cloudflare.

User comments

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Read Your Scan 0 mentions
Gitql 1 mention

Tracking Read Your Scan since Jul 2026.

  • GQL: A Query language for .git files written in Rust
    How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago

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