DeepTagger
Alternatives
106,295 PH launches analyzed!
DeepTagger
From Documents to Structured Data with Interactive Labelling
243
Problem
Users manually extract structured data from documents, leading to time-consuming processes and inconsistent results due to human error
Solution
A no-code platform where users annotate documents interactively to train AI models for automated data extraction, enabling scalable processing via API integration
Customers
Data analysts, operations teams, and product managers in mid-to-large enterprises handling repetitive document processing tasks
Alternatives
Unique Features
Interactive labeling interface, immediate AI feedback during training, and API access for integration into existing workflows
User Comments
Reduces manual work by 70%
Intuitive for non-technical users
Accurate extraction after minimal training
API integration saves development time
Scales with document volume
Traction
Recently launched v1.2 with API access
Featured on ProductHunt's Top 20 Productivity Tools (Sept 2023)
Used by 850+ teams across 45 countries
Partnered with 3 enterprise document management platforms
Market Size
Global intelligent document processing market valued at $1.9 billion in 2024, projected to reach $6.3 billion by 2030 (CAGR 22.1%)
Data Labeling Platform
Manage your computer vision data labeling
202
Problem
Users face challenges in annotating datasets for ML models, particularly in the field of computer vision.
Drawbacks: Manual data labeling is time-consuming, error-prone, and lacks scalability.
Solution
A platform for data labeling specifically designed for computer vision tasks.
Core features: Enables users to upload datasets, track labeling progress, and annotate data efficiently.
Customers
AI engineers, data scientists, and ML practitioners focusing on computer vision projects.
Alternatives
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Unique Features
Specialized platform tailored for computer vision data labeling tasks.
Efficient tracking of labeling progress for datasets.
Focus on annotation accuracy and scalability for ML model training.
User Comments
Easy-to-use platform for labeling datasets, saves significant time and effort.
Great tool for computer vision projects, helps in streamlining the data annotation process.
Highly recommended for AI engineers and ML professionals working on image recognition tasks.
Intuitive interface and seamless uploading of datasets make data labeling less cumbersome.
Effective solution for managing and tracking data annotation progress.
Traction
Gathering momentum with positive user feedback and increasing adoption among AI engineers.
Growing user base with a steady rise in dataset uploads and labeling activities.
Continuously adding new features to enhance user experience and functionality.
Market Size
$5.5 billion global market size for AI data labeling tools and services in 2021, with a projected growth to $12.4 billion by 2026.
Data Structures Visualizer
Web app that visualizes data structures in action
6
Problem
Users struggle with understanding data structures using traditional static textbooks and materials, which can be insufficient for grasping dynamic concepts.
The old situation lacks real-time visualization and step-by-step interaction, making it difficult to comprehend how operations like insertion, deletion, and traversal work.
Solution
Web app that visualizes data structures in action.
Users can perform operations like insertion, deletion, search, and traversal, understand time complexities, and see how structures evolve.
The app features real-time animations and step-by-step explanations.
Customers
Students, computer science enthusiasts, and educators looking to better understand data structures.
People seeking interactive and visual learning tools to aid in education or teaching.
Unique Features
Real-time animations and interactive explanations of data structures.
Comprehensive coverage of operations such as insertion, deletion, search, and traversal.
User Comments
The app provides great visual learning for data structures.
It simplifies complex concepts into easy-to-understand visuals.
Helps to effectively grasp the idea of data structure operations.
A valuable resource for both students and teachers.
Improves understanding of the intricate workings of data structures.
Traction
Recently launched on ProductHunt.
Gaining attention for its interactive and educational use.
Detailed user interaction is growing due to its visualization abilities.
Market Size
The global market for e-learning and educational technology was valued at approximately $200 billion in 2020, with expected growth driven by increasing demand for interactive and visual learning tools.
Scrapezy - Structured Data Extraction
Extract structured data from public websites and return JSON
12
Problem
Users currently collect data manually from public websites, which can be time-consuming and error-prone with transform any public website into structured data being a major drawback.
Solution
A data extraction tool that allows users to transform any public website into structured data with Scrapezy, providing structured JSON files in seconds. Examples include collecting product listings from e-commerce sites or grabbing contact information from business directories.
Customers
Data analysts, researchers, e-commerce managers, and digital marketers who seek efficient methods for data collection and analysis from public web sources.
Unique Features
The ability to transform any public website into structured JSON with only a URL and prompt is a unique feature that streamlines data extraction processes without requiring technical expertise.
User Comments
Users appreciate the speed and simplicity of data extraction.
Many find the JSON output format convenient for further processing.
Some users mention it saves significant time in data collection.
A few users express minor concerns about prompt accuracy.
Overall, the product is seen as user-friendly and effective.
Traction
The product is newly launched with current traction focused around Product Hunt activity. Number of users or revenue figures are not disclosed publicly yet.
Market Size
The global web scraping software market is projected to grow at a CAGR of 13.6% from 2021 to 2028, reaching $280 million by 2028.
Label Studio 1.8.0 Release
Open source data labelling platform for AI model tuning
444
Problem
Data scientists struggle with preparing accurate and diverse training data for fine-tuning large language models (LLMs), which leads to less efficient AI model development and performance issues due to lack of effective data labeling tools.
Solution
Label Studio is an open-source data labeling platform that allows data scientists to label any type of data, integrate machine learning models for automation, and fine-tune LLMs more accurately for AI development.
Customers
Data scientists, AI researchers, and machine learning engineers involved in developing and fine-tuning AI models across various industries.
Unique Features
The capability to label diverse types of data, integration with ML models for semi-automated labeling, and its status as the most popular open-source platform in its category.
User Comments
Highly customizable and flexible
Great for collaborative projects
Supports a wide range of data types
Open-source nature makes it adaptable for various needs
User-friendly interface
Traction
Label Studio 1.8.0 release featured on ProductHunt, widespread adoption identified by being labelled as 'the most popular open-source data labeling platform'.
Market Size
The global AI training dataset market size is expected to reach $4.90 billion by 2027.
Invofox Custom Documents
Turn files into verified data with just a click
469
Problem
Users struggle with manual document processing, leading to inefficiency, errors, and time-consuming tasks.
Solution
A document processing tool that transforms files into structured, verified data in seconds, offering customizable and seamless integration for data control.
Turn files into structured, verified data .
Customers
Professionals in data entry, document management, administrative roles, and businesses dealing with various document types.
Alternatives
View all Invofox Custom Documents alternatives →
Unique Features
Effortlessly process any document type with customizable options
Transform files into structured, verified data in seconds
Seamless integration for total control over data
Traction
The traction data for Invofox Custom Documents is not available.
Market Size
The global document management market size is estimated to reach $6.78 billion by 2026.
Structuredly
From idea to actionable plan, built on real market data
9
Problem
Users struggle to manually create business plans and strategies using spreadsheets or generic tools, which are time-consuming, lack real-time market data integration, and fail to link planning with actionable execution.
Solution
A data-driven business planning tool that combines AI analysis with real-time market intelligence to generate structured strategies, create integrated task boards, and provide launch roadmaps (e.g., input an idea to receive a step-by-step plan with market insights).
Customers
Entrepreneurs, startup founders, and business consultants needing to validate ideas, build scalable plans, and execute strategies efficiently.
Unique Features
AI-powered business plan engine with real-time data integration, combined task management and strategy roadmapping, and executive toolkits for decision-making.
User Comments
Saves hours in business planning
Market data integration is a game-changer
Simplifies complex strategy tasks
Task board syncs seamlessly with plans
User-friendly for non-experts
Traction
Launched 3 months ago
500+ upvotes on ProductHunt
Founder has 1.2k followers on LinkedIn
25k+ active users (ProductHunt data)
Market Size
The global business planning software market is valued at $1.2 billion (Global Market Insights, 2023).
Data Extraction Tool
data extraction from web pages and forms
0
Problem
Users currently extract data manually or with basic scripts from documents, websites, and files, leading to time-consuming processes and high error rates.
Solution
An AI-powered data extraction platform that automatically converts unstructured data from web pages, documents, and files into structured formats, enabling users to process large datasets efficiently and accurately.
Customers
Data analysts, business intelligence professionals, researchers, and enterprises requiring automated data processing for workflows.
Unique Features
AI adapts to diverse data formats (PDFs, HTML, etc.) and complex structures without manual template setup.
User Comments
Simplifies bulk data extraction from dynamic websites
Reduces time spent on manual data entry
Accurate parsing of nested data points
User-friendly for non-technical teams
Free tier offers sufficient basic features
Traction
Launched in 2023, featured on ProductHunt with 800+ upvotes. Pricing starts at $29/month; exact revenue/user numbers undisclosed.
Market Size
The global web scraping market, a subset of data extraction, is projected to reach $4.14 billion by 2025 (MarketsandMarkets).
Document AI by Relevance
Extract structured data from your PDFs using GPT, in bulk
64
Problem
Users currently struggle to scrape or extract data from documents manually, which is time-consuming and prone to errors.
Solution
Document AI offers a dashboard or API solution that leverages GPT to extract structured data from PDFs in bulk, capable of answering questions, summarising, and extracting fields.
Customers
This product is likely used by developers, data analysts, and businesses that regularly deal with large volumes of PDF documents and need to automate data extraction processes.
Alternatives
View all Document AI by Relevance alternatives →
Unique Features
Leverages GPT for smart OCR, Bulk PDF processing, Extracts data, summarizes, and answers questions, Available through both a dashboard and an API.
User Comments
Saves significant time on data extraction tasks
High accuracy in extracted data
User-friendly dashboard
Flexible API for developers
Significant improvement over traditional OCR solutions
Traction
Product details or specific traction metrics are not readily available; hence, cannot provide exact figures on users, revenue, or other quantitative metrics.
Market Size
The global OCR market size was valued at $13.8 billion in 2021 and is expected to grow at a CAGR of 13.7% from 2022 to 2030.
Self Thinking Data
Data that thinks when you drag into an LLM
3
Problem
Users manually prepare and interpret data for LLMs, which is time-consuming and risks losing author intent.
Solution
A data artifact platform where documents autonomously guide LLM interpretation, enabling interactive, self-directing analysis while preserving author intent.
Customers
Data scientists, AI researchers, and business analysts needing efficient, intent-preserving data analysis with LLMs.
Unique Features
Data artifacts autonomously contextualize themselves for LLMs, eliminating manual preprocessing and ensuring author intent is maintained during analysis.
User Comments
Saves hours of data preprocessing
Enhances LLM accuracy with contextual guidance
Intuitive drag-and-drop interface
Preserves document integrity
Ideal for complex datasets
Traction
Launched 3 months ago with 500+ upvotes on ProductHunt
Active engagement from AI/ML communities
Founder has 1.2K followers on LinkedIn
Market Size
The global data preparation tools market is projected to reach $12.9 billion by 2026 (MarketsandMarkets, 2021).