Slip-Scan: AI Receipt Scanner
Alternatives
0 PH launches analyzed!
Slip-Scan: AI Receipt Scanner
Experience 100% accurate, AI-powered data extraction.
4
Problem
Users currently manually input receipt details into expense tracking systems or spreadsheets, which is time-consuming, prone to errors, and makes it hard to organize and retrieve receipts later.
Solution
An AI-powered receipt scanning tool that extracts data with 100% accuracy. Users upload a photo of a receipt, and the tool automatically converts paper receipts into digital data, syncs with expense trackers, and stores them securely in the cloud (e.g., capturing totals, dates, merchant names).
Customers
Freelancers, small business owners, accountants, and finance teams who need efficient expense tracking and receipt digitization.
Alternatives
Unique Features
Claims 100% accuracy in data extraction via proprietary AI, seamless integration with accounting software, and encrypted cloud storage for receipts.
User Comments
Saves hours of manual entry
Highly accurate even for messy receipts
Intuitive mobile app
Useful for tax season organization
Free tier is sufficient for basic needs
Traction
Launched on ProductHunt (3k+ upvotes), offers freemium model, integrates with Xero/QuickBooks, claims 50k+ active users as of 2024.
Market Size
The global expense management software market is valued at $8.11 billion in 2024 (Grand View Research), with 12.3% CAGR growth expected through 2030.
Scatterplot.ai
One-click AI data explorer - Supercharge your data stories
5
Problem
Users rely on manual data analysis requiring coding skills and setup time, leading to slow, complex, and less accessible insights.
Solution
An AI-powered data explorer enabling users to create charts, pivots, data stories, and forecasts without coding or setup through an interactive dashboard.
Customers
Data Analysts, Marketers, and Product Managers in mid-sized teams needing quick, code-free data insights for reporting and decision-making.
Unique Features
Combines automated data visualization, AI-driven insights (e.g., forecasts), and one-click interactive story generation.
User Comments
Simplifies complex data tasks
Saves hours on analysis
Intuitive for non-technical users
Accurate forecasting
Seamless no-code integration
Traction
Trusted by 100+ teams (per ProductHunt description); launched interactive charts, smart pivots, and AI forecasts as core features.
Market Size
The global data visualization market was valued at $8.4 billion in 2023 (Grand View Research).
Data Donkee
Effortless web data extraction with AI-powered simplicity.
10
Problem
Difficulty in extracting data from websites accurately and efficiently without coding.
Solution
Web agent powered by AI that simplifies data extraction through natural language and JSON schemas.
Customers
Data analysts, researchers, businesses, and developers.
Unique Features
Uses natural language and JSON schemas for data extraction, AI-powered simplicity.
Market Size
The web data extraction market was valued at $1.51 billion in 2020 and is projected to reach $7.65 billion by 2027.
AI-Powered Web-to-PDF Agent
AI-Powered Web to PDF: Extract, Summarize, Archive
6
Problem
Users want to convert websites into PDFs for offline access.
Converting manually can be tedious and often lacks structure and summarization.
Solution
AI-powered chatbot that allows users to convert websites into structured PDF books for offline reading.
Extracts, summarizes, and formats web content
The PDFs can be sent directly to an email
Customers
Freelancers, students, researchers, and business professionals who need offline access to web data.
Users who frequently need structured data for studying or presentation purposes
Unique Features
Utilizes AI to summarize and format content
Ability to send PDF to email directly
Transforms entire websites into structured PDFs rather than simple static captures
User Comments
Easy to use and convenient for offline reading
Helpful for tasks requiring structured data collection
Efficient in summarizing large web pages
Some users wish for more customization options
Occasional issues with formatting complex sites
Traction
Recently launched product, early stages
Growing community feedback on ProductHunt
Adoption increasing among students and researchers
Market Size
The global document management system market is valued at $5.57 billion in 2021, which encompasses tools for converting and managing digital documents.
Unstructure AI
Extract structured data from unstructured documents with AI
8
Problem
Users manually extract data from unstructured documents (PDFs, images) which is time-consuming and error-prone due to inconsistent formats and unreliable OCR tools
Solution
Document processing tool that uses AI to automatically extract structured data from unstructured files. Users can define custom fields, process documents in bulk, and integrate with databases through API/automations
Customers
Data analysts, developers, and operations managers handling invoices, contracts, or forms in industries like finance, healthcare, and logistics
Unique Features
Combines OCR with contextual AI understanding for complex layouts, supports custom field templates, and offers direct database integrations
User Comments
Saves hours of manual data entry work
Handles complex tables better than competitors
API integration was seamless
Accuracy improves with template training
Needs more pre-built industry templates
Traction
Launched 3 months ago with 1,200+ active users
Featured on ProductHunt with 480+ upvotes
Partnerships with 15+ MSPs and system integrators
Market Size
Global intelligent document processing market projected to reach $7.6 billion by 2027 (MarketsandMarkets)
Problem
The current situation involves users struggling to efficiently collect, crawl, extract, parse, structure, and deliver data manually. This process is time-consuming and often leads to inaccuracies.
collect, crawl, extract, parse, structure, and deliver data manually
Solution
AI-powered data extraction and automation company that specializes in the collection, crawling, extraction, parsing, structuring, and delivery of data.
collection, crawling, extraction, parsing, structuring, and delivery of data
Customers
Data analysts, business intelligence professionals, and companies dealing with large amounts of unstructured data that need transforming into valuable insights.
Unique Features
Automates the transformation of complex and unstructured data into structured insights efficiently.
User Comments
Users appreciate the efficiency of the data extraction process.
The automation significantly reduces manual workload.
Data structuring is seamless and accurate.
The product is versatile and adaptable to various data types.
Customer support is responsive and helpful.
Traction
Recently launched and gaining traction for its efficiency in handling data. Specific metrics such as user count or revenue are not publicly available.
Market Size
The global data extraction market was valued at $2.14 billion in 2020 and is expected to grow to $4.9 billion by 2027.
Lease Abstract AI
AI-powered Lease Abstraction for accurate Real Estate Data
7
Problem
Currently, users dealing with lease abstraction face the challenge of managing detailed real estate data manually. This process is often time-consuming and error-prone, leading to inefficiencies in data management, compliance issues, and slowed turnaround times. Managing detailed real estate data manually leads to these drawbacks.
Solution
LeaseAbstractAI is an AI-powered platform that simplifies the lease abstraction process. Users can manage real estate data efficiently, ensuring fast and accurate results for US and Canadian markets. The platform delivers fast, accurate, cost-effective solutions, reducing compliance risks and turnaround time, thereby boosting efficiency.
Customers
Real estate professionals, property managers, and legal teams seeking to streamline lease data management in the US and Canada, focusing on improving efficiency, accuracy, and compliance.
Unique Features
LeaseAbstractAI uses AI technology to automate the lease abstraction process, ensuring accuracy while reducing the time and cost associated with manual handling. This unique approach caters specifically to the real estate sector in US and Canada.
User Comments
Users appreciate its time-saving capabilities.
The platform is praised for improving data accuracy.
Users find it cost-effective compared to manual methods.
It simplifies compliance processes significantly.
Some users suggest improvements in the AI's interpretative capabilities.
Traction
The product is newly launched with growing interest on ProductHunt. Details on specific traction metrics such as user numbers or revenue are not readily available.
Market Size
The global real estate services market was valued at approximately $1.5 trillion in 2020, indicating a substantial market potential for specialized tools like lease abstraction platforms.
OpenPao - Universal Data Extraction
Extract Any Data with AI - Websites, Apps & More
3
Problem
Users need to extract structured data from various sources but rely on traditional web scraping limited to websites, which cannot capture data from desktop apps, mobile apps, or games and may lack accuracy.
Solution
An API tool that uses AI to extract structured data from images, websites, desktop apps, mobile apps, and games via natural language commands, enabling precise and versatile data capture across platforms.
Customers
Developers, data engineers, and business analysts who require cross-platform data extraction for automation, analytics, or app integration.
Unique Features
Supports data extraction from non-web sources (desktop/mobile apps, games) and uses natural language commands for flexible, accurate parsing.
User Comments
Simplifies cross-platform data extraction
High accuracy compared to traditional tools
Easy integration via API
Saves time for app-specific data needs
Natural language commands streamline workflows
Traction
Launched on Product Hunt in 2024 (exact metrics unspecified), positioned in the growing AI data extraction market.
Market Size
The global web scraping market is projected to reach $5.6 billion by 2027 (MarketsandMarkets, 2023), driven by demand for multi-source data extraction.
Anylytics AI
AI-powered insights from your data in seconds
4
Problem
Users need to analyze raw data for actionable insights but require technical skills or BI tools, leading to time-consuming manual analysis and delayed decision-making.
Solution
An AI-powered analytics tool that lets users upload files or connect data sources to generate instant, clear insights without coding or BI expertise (e.g., visualizing trends, identifying patterns).
Customers
Business analysts, marketers, and small business owners seeking data-driven decisions but lacking technical resources or data science teams.
Alternatives
View all Anylytics AI alternatives →
Unique Features
Automates end-to-end data analysis via AI, simplifies complex datasets into plain-language insights, and works with multiple data formats (CSV, Excel, APIs).
User Comments
Reduces analysis time from hours to seconds
Intuitive interface for non-technical users
Accurate trend predictions
Limited customization for advanced users
Supports common but not niche data formats
Traction
Launched in 2023, 1,500+ ProductHunt upvotes
Integrated with Slack and Google Sheets in Q2 2024
$50k MRR with 5,000 active users
Market Size
The global business intelligence market is projected to reach $33.3 billion by 2025, driven by demand for no-code analytics tools.
AI-powered Parabola steps
Put AI to work on your everyday business data
61
Problem
Businesses often struggle with interpreting and structuring complex data, leading to inefficient data management and missed insights. The inefficient data management and missed insights from complex data are the main drawbacks.
Solution
Parabola's GPT-powered steps are a dashboard that allows users to leverage AI for interpreting business data and pairing it with Parabola's efficient data structuring capabilities. Users can create automated workflows to handle data tasks more swiftly and accurately. The AI's ability to interpret data coupled with Parabola’s efficiency in structuring it forms the core feature.
Customers
This product is ideal for data analysts, business intelligence professionals, and managers in small to medium-sized businesses who regularly work with and make decisions based on complex data.
Unique Features
The combination of GPT-powered data interpretation with Parabola’s data structuring tools presents a unique, accessible yet powerful solution for complex data management.
User Comments
Significant time savings in data processing
Easy to use even for non-technical people
Highly customizable to business needs
Improves data accuracy
Facilitates deeper data insights
Traction
Due to limited available information, exact numbers such as MRR, user base, or financing rounds cannot be provided. However, users have positively received the tool, highlighting its utility and innovative approach to data management.
Market Size
Due to a lack of specific market size data for GPT-powered data management tools, a comparable market, the global business intelligence market, is valued at $23.1 billion in 2020 with an expected growth to $33.3 billion by 2025.