Transparent · Private · Accurate
CodeSnapper uses Google's Gemini Vision LLM — not traditional OCR — to transcribe source code from single screenshots, multi-image batches, and live camera snaps with surgical precision.
The workflow
Single & Batch Upload: Drag & drop 1 or multiple screenshots at once — up to 5 images for anonymous visitors or 10 images for signed-in accounts. Keyboard shortcuts Ctrl+V and Ctrl+O are fully supported.
📷 Use Camera / Lens: Tap "Use Camera" to point your device camera directly at code on a whiteboard, monitor, textbook, or printed document and snap a clean photo in real time with guided framing.
Auto Crop: Automatically analyzes pixel data to detect code block boundaries with generous padding so syntax is never truncated. In batch mode, AI Auto Crop processes every image in the queue with zero manual steps.
Manual Crop: For complex screenshots with browser chrome or multiple code snippets, use the interactive drag-to-select tool to isolate the exact region before extraction.
Images are processed via Google Gemini Vision using a strictly constrained prompt instructing the AI to output only clean, raw source code. Exact indentation, line breaks, brackets, and every special symbol are faithfully preserved at near-zero temperature (0.05). In batch mode, images are processed sequentially to guarantee stability and prevent rate throttling.
Highlight.js detects the programming language across 35+ languages (Python, JavaScript, TypeScript, Rust, Go, C++, Java, SQL, HTML/CSS, and more) and applies syntax highlighting client-side. For batch uploads, results are cleanly arranged into interactive numbered tabs (Image 1, Image 2, etc.).
Copy extracted code to your clipboard with a single click. In batch mode, hit "Copy All" to export all processed snippets at once, neatly organized with comment headers (# ---- Image N: filename (lang) ---- #). Any character ambiguities are flagged transparently below the code window.
Signed-in users automatically get all extractions saved to their personal Extraction History (retained for 90 days, capped at 100 entries). Browse past extractions with 3-line syntax previews, click to inline-rename entries, restore code straight into the results view, or delete items on demand. Only source text is stored — uploaded screenshots are never saved.
Accuracy & limitations
CodeSnapper is a convenience tool, not a guaranteed transcription service. AI vision models can misread characters — especially in low-resolution images, unusual fonts, or compressed screenshots. Common confusion pairs include:
0 ↔ O 1 ↔ l ↔ | 5 ↔ S 6 ↔ G 8 ↔ B , ↔ . ; ↔ :
When CodeSnapper detects ambiguity it shows a warning below the code listing the affected lines — but it cannot catch every case. Always open the original screenshot side-by-side and compare critical sections before running or deploying any extracted code.
Tip: This tool saves you retyping, not learning. Understand the code before you use it — don't just copy-paste blind.
Accuracy is generally excellent for:
Accuracy may be reduced for:
Technology
Traditional OCR engines (Tesseract, AWS Textract, etc.) treat code as generic text. They struggle with the unique density and character-level ambiguity of source code — they don't understand that != is a single operator, or that indentation is semantically meaningful, or that a // in C++ differs from a # in Python.
Google Gemini 3.6 Flash is a multimodal LLM trained on enormous amounts of code across many programming languages. It "understands" code at a syntactic level — it knows what's plausible for a given language, can disambiguate characters based on context, and handles unusual code layouts that would trip up traditional OCR.
The tradeoff: an LLM could hallucinate content it didn't see. This is why CodeSnapper uses an extremely strict prompt at near-zero temperature, and why we strongly recommend verifying all extracted code. We pick accuracy and context-awareness over false confidence.
Privacy
Your image is sent to our server solely to proxy it to Google Gemini Vision — it is never written to disk, never stored in any database, and discarded from memory immediately after extraction completes.
Your image is processed in volatile memory for the duration of the request and immediately discarded.
Images are never saved to disk or database. Only raw extracted code text is stored if signed in.
The Gemini API key is stored securely on the server — never in the browser or sent over the network to you.
Image data is sent to Google Gemini per their API terms. Free-tier API calls may be used by Google to improve models.
Tip: If your screenshot contains sensitive information (API keys, passwords, proprietary code), consider using a paid Gemini API plan with data governance controls, or crop the image to include only the non-sensitive code regions before extraction.
Limits & Fair Usage
CodeSnapper provides 25 free extractions without an account (up to 5 images per batch upload). Need more capacity? Create a free account in seconds with just your email and password — signed-in users unlock 50 extractions per 24 hours on a rolling window, with support for up to 10 images per batch upload.
Limits exist to prevent automated abuse and maintain zero-latency response times for everyone. Every extraction is processed live using state-of-the-art multimodal vision AI.
Credits
CodeSnapper was designed and built in 2026 as a collaborative project between Mubashir Shaikh (product vision & direction) and Claude by Anthropic (AI pair programmer & engineer). Every line of code, UI component, and backend logic was crafted together in a single pair-programming session — a human with an idea and an AI that could build it.
