Linguistic Flashcard Generator & Technical Summarizer
Erase study bottlenecks. Automatically summarize complex manuals, textbooks, or documentation and compile interactive active-recall study flashcards locally in your browser. Powered by client-side TF-IDF heuristics.
Drag & Drop your textbook text file (.txt, .md) here or click to browse
Technical Manuscript
Compilation Parameters
3 lines
5 cards
Paste text on the left and click compile...
Question (Click to flip)No cards compiled yet.
Answer (Click to flip)No cards compiled yet.
Card 0 / 0
Analyzing document text parameters...
Provided parameter configuration is invalid.
Linguistic Learning Architecture
100% Secure Client Sandbox
Conventional AI summarizers upload textbooks or proprietary documentation to cloud databases. This tool's TF-IDF parser reads, tokenizes, scores, and compiles text vectors directly inside your browser sandbox, keeping your documents private.
Linguistic TF-IDF Heuristics
Unlock structured textual summaries. Our heuristic engine extracts stop-words, calculates term frequencies, and ranks sentence significance values natively, compiling a concise summary of your text.
3D Active Recall Flashcards
Build study decks with ease. Our generator parses text definitions, terms, and context, compiling a set of custom interactive 3D flashcards designed to help you study and retain information.
How to Use the Learning Sandbox
Step 1: Input Text: Paste your technical notes directly inside the text editor container, or upload a local plain text file.
Step 2: Set Study Parameters: Adjust the sliders to set your desired summary length and the number of flashcards to generate.
Step 3: Analyze and Compile: Click "Analyze & Compile" to trigger our local linguistic engine. Toggle between the "Summary" and "Flashcards" tabs to view the results.
Step 4: Interactive active recall study: Click the flashcards to flip them and reveal the answers. Use the arrows to navigate through your custom deck.
Frequently Asked Questions
No. All linguistic calculations and card formatting are processed entirely offline using HTML5 and JavaScript, allowing you to study and summarize documents without an active internet connection.
Never. Every phase of your document analysis is processed locally in your browser's private sandbox memory. The tool functions completely offline without sending any data over network protocols.
The algorithm tokenizes your text, filters out common stop-words, and calculates a term frequency-inverse document frequency (TF-IDF) approximation. It then scores each sentence based on the cumulative frequency of its words, selecting the highest-ranked sentences for your summary.
The generator scans your text for specific linguistic patterns (like "X is a Y" or "X refers to Y"). It then uses cloze-deletion and pattern-matching to automatically create flashcard questions and answers from these key concepts.
There are no server limits since processing is handled locally on your machine. However, upscaling extremely large files (e.g. 50MB RAW photos) can require significant memory on some older mobile devices.
The flashcards are generated dynamically based on your text content. To customize or refine your study cards, simply edit the source text directly in the editor panel and click "Analyze & Compile" to rebuild the deck.
This tool uses standard modern web standards like HTML5 Canvas and File Reader APIs, making it fully compatible with modern releases of Safari, Chrome, Firefox, Opera, and Microsoft Edge.
Yes. You can copy the generated summary directly to your clipboard or download it as a plain text file using the actions panel.
The parser supports any structured plain text, including .txt and .md files, such as software manuals, API documentation, textbooks, and meeting notes.
Yes. The exported study deck is saved as a standard tab-delimited text file (.txt), which can be imported directly into external flashcard applications like Anki or Quizlet.
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