SomeAI.org
  • Hot AI Tools
  • New AI Tools
  • AI Category
SomeAI.org
SomeAI.org

Discover 10,000+ free AI tools instantly. No login required.

About

  • Blog

© 2025 • SomeAI.org All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Extract text from scanned documents
Medical Ner App

Medical Ner App

Extract named entities from medical text

You May Also Like

View All
👁

OCR GROUP 003 V2

Process and extract text from receipts

0
🏆

Simcse Demo

Find similar text segments based on your query

2
🌍

HSN Explanatory Notes Bot

Find information using text queries

0
📊

Rag Community Tool Template

Find relevant text chunks from documents based on queries

4
📸

OCR Image To Text

Extract text from images using OCR

0
🐠

QwenOCR

Extract text from images with OCR

0
🦀

Unstructured Chipper App

Parse and extract information from documents

9
🕯

Candle BERT Semantic Similarity Wasm

Find similar sentences in your text using search queries

0
🧠

DeepSeek-R1 WebGPU

Next-generation reasoning model that runs locally in-browser

1
😻

RAG Proto V0.1.2

Search and summarize documents with natural language queries

0
💻

GLiNER-Multi-PII

Identify and extract key entities from text

16
⚡

Spacy-en Core Web Sm

Process text to extract entities and details

1

What is Medical Ner App ?

Medical Ner App is a specialized tool designed to extract named entities from medical text. It helps users identify and categorize specific information such as diagnoses, medications, symptoms, and medical terms from scanned documents. This app is particularly useful for healthcare professionals, researchers, and anyone needing to process medical data efficiently.

Features

• Named Entity Recognition (NER): Automatically identifies and categorizes medical entities in text.
• Support for Scanned Documents: Utilizes OCR (Optical Character Recognition) to extract text from scanned medical documents.
• High Accuracy: Designed to handle complex medical terminology and contexts.
• User-Friendly Interface: Easy-to-use platform for uploading documents and viewing results.
• Customizable Extraction: Allows users to define specific entities they want to extract.

How to use Medical Ner App ?

  1. Upload or Select Document: Import your scanned medical document into the app.
  2. Apply OCR (if needed): If the document is scanned, use the OCR feature to extract readable text.
  3. Select Entity Types: Choose the types of entities you want to extract (e.g., diagnoses, medications, symptoms).
  4. Process the Document: Run the extraction process to identify and categorize the entities.
  5. View and Export Results: Review the extracted information and export it for further use.

Frequently Asked Questions

1. What file formats does Medical Ner App support?
Medical Ner App supports common formats like PDF, JPG, PNG, and TIFF for scanned documents.

2. How long does the extraction process take?
Processing time depends on the document length and complexity. Scanned documents may take longer due to OCR processing.

3. Can the app handle handwritten medical notes?
While the app primarily works with typed or clearly scanned text, it may struggle with handwritten notes unless they are very legible. For best results, use clear, typed, or high-quality scanned documents.

Recommended Category

View All
🖼️

Image

🎎

Create an anime version of me

🧑‍💻

Create a 3D avatar

✂️

Separate vocals from a music track

✂️

Remove background from a picture

📹

Track objects in video

🤖

Chatbots

✨

Restore an old photo

📏

Model Benchmarking

🎧

Enhance audio quality

❓

Question Answering

📊

Data Visualization

🌍

Language Translation

🖼️

Image Generation

🌈

Colorize black and white photos