Pomniter Logo
POMNITER
// ПОМНИТЬ • TO REMEMBER
EARLY ACCESS BETASEMANTIC VISUAL RETRIEVALBY NIKUNJ MAHESHWARI

Search screenshots the way you remember them.

We take screenshots because we think they’ll be useful later. But when we need them, we have no idea where they are. Pomniter looks beyond raw text with multimodal AI and dense vector search, so you can search using fuzzy human memory.

// QUICK ANSWER: WHAT IS POMNITER?

Pomniter is an AI-powered visual memory engine created by software engineer Nikunj Maheshwari. Derived from the Russian word помнить ("to remember"), it connects OCR text, visual diagrams, and code snippets into high-dimensional embeddings for natural language semantic search.

LIVE RETRIEVAL ENGINE SIMULATION

Test Pomniter’s Brain //

See in real-time how natural language memory prompts get translated into contextual understanding and vector matches without needing exact keywords.

SYSTEM CONSOLE // POMNITER MEMORY RETRIEVAL ENGINE
STATUS: ONLINE • SIMULATION MODE
TRY PRESET MEMORY:
// USER NATURAL LANGUAGE INPUT:
"Show me that graph algorithm note with the BFS queue trick I wanted to revise before interviews"
1. Context ExtractionMATCH: 98.7%
RAW OCR EXTRACTED:
queue.push(src); visited[src] = true; while(!queue.empty()) { ... }
POMNITER SEMANTIC INFERENCE:
Category: Computer Science / Programming
Topic: Graph Traversal / BFS
Intent: Technical Interview Revision / Competitive Programming
#Graphs#BFS#LeetCode#Queue#InterviewPrep
2. Retrieved Memory Card
BFS Level-Order Template with Distance Matrix & Visited Bitmask Optimization
Why this matched: Notice you never typed the exact code snippet. Pomniter connected "graph algorithm note", "BFS queue trick", and "interview revision" to retrieve the exact screenshot.
View High-ResCopy Context
BEYOND PLAIN OCR

A Screenshot Contains More Than Just Text

Why traditional photo galleries fail developers, students, and thinkers—and how semantic context solves it.

Traditional Gallery & OCR

Traditional photo search only indexes literal characters. If you don’t remember the exact string, the screenshot is lost forever.

OCR sees:
mid = left + (right - left) / 2
  • ❌ Requires you to remember exact code variable names
  • ❌ Has no concept of "LeetCode", "Binary Search", or "Overflow"
  • ❌ Cluttered gallery requiring manual albums and folders
  • ❌ Useless when searching by vague human memories

The Pomniter Way

Pomniter analyzes visual context, programming paradigms, dates, and domain concepts to build a rich semantic profile.

Pomniter understands:
Topic: Binary Search midpoint calculation
Purpose: Overflow prevention in Java/C++
Utility: DSA Interview Prep Note
  • ✅ Search with queries like "binary search overflow trick"
  • ✅ Zero manual tagging or album maintenance required
  • ✅ Instant semantic ranking using dense vector embeddings
  • ✅ Proactive second brain that organizes thoughts for you
SYSTEM ARCHITECTURE

How Pomniter Works //

From the instant you hit snapshot to natural language recall in milliseconds.

01 //

Capture & Ingest

Screenshot saved via mobile shortcut, Android companion, or desktop tool. Auto-ingested with zero manual tagging.

02 //

Multimodal Context

Vision model examines visual hierarchy, diagrams, syntax, and layout to extract deep semantic purpose beyond text.

03 //

Vector Indexing

Converts contextual descriptions, code entities, and visual signals into high-dimensional vector embeddings.

04 //

Natural Recall

Type whatever vague snippet you recall. Pomniter computes similarity distance and surfaces the exact image instantly.

KEY CAPABILITIES

Built for Thinkers, Builders & Students

Everything needed to turn random phone clutter into an organized visual database.

Fuzzy Memory Search

Search like you talk to a friend: "Find the graph note from 2 weeks ago with the BFS queue optimization."

LeetCode & Code Recognition

Detects algorithms, programming languages, time complexity notes, and formula tricks directly from terminal or IDE snapshots.

Contextual Synthesis

Understands the difference between temporary trash (OTPs, flight seats) and long-term knowledge (cheat sheets, formulas).

Zero-Tagging Organization

Never waste time dragging screenshots into folders or manually typing tags. The embedding index organizes everything automatically.

Privacy-First Architecture

Your personal captures remain strictly yours. Local vector caching and on-device storage options ensure confidential notes stay secure.

Instant Action Extraction

Copy clean code directly, grab WiFi passwords, verify flight times, or generate flashcards in a single click.

FEATURE BREAKDOWN

How Pomniter Compares //

Why a dedicated screenshot intelligence engine beats general gallery apps.

CAPABILITYPOMNITER AINATIVE GALLERYBASIC OCR NOTE APPS
Fuzzy Memory Search✅ Full Semantic❌ Exact Keyword Only❌ Substring Match Only
LeetCode / Code Understanding✅ Specialized Model❌ None⚠️ Raw OCR Text Only
Zero-Effort Organization✅ Automatic Embedding❌ Manual Folders❌ Manual Notebooks
Temporary vs Long-Term Filter✅ Intent Classification❌ No Separation❌ No Separation
AI Agent & GEO Ready✅ llms.txt & Manifests❌ Closed Ecosystem❌ Proprietary Lock-in
FREQUENTLY ASKED QUESTIONS

Got Questions? //

Everything you need to know about Pomniter, its naming origin, and technical underpinnings.

Pomniter is an AI-powered screenshot memory search system created by Nikunj Maheshwari. Rather than just performing basic OCR to extract plain text characters, Pomniter uses multimodal vision models and dense vector embeddings to understand the underlying context, concept, and purpose of a screenshot (e.g., identifying a LeetCode binary search template, a flight confirmation, or an operating systems lecture slide). This enables you to retrieve images using natural conversational queries.

Core Concept
JOIN THE MEMORY REVOLUTION

Stop scrolling through thousands of screenshots.

Turn random screenshots into a proactive, searchable knowledge bank. Download early access or read the engineering journey.

Get Early Access (Beta)GitHub Repository