Low confidence — this score is based on limited public data (mostly aggregate ratings, with little independent discussion or review detail), so it may not reflect real-world quality.
What it is
Overview
A web-based mapping tool that takes data files and turns them into interactive maps without manual coordinate plotting. Upload a CSV with addresses, connect a database, or drop in a shapefile, and the system geocodes locations automatically. Built for GIS analysts, urban planners, and data scientists who need quick map visualization without desktop software setup. The tool draws 333K monthly visits from users replacing or supplementing traditional GIS workflows.
At a glance
Usability & Quality overview
Best for
- GIS teams replacing legacy software like ArcGIS
- Teams needing cloud-native spatial tools without local installation
- Users wanting AI-generated maps from data files or database connections
Watch out for
- Very limited individual user experiences available to verify claims
- Only 4 aggregated reviews on G2 with no detailed narratives
- No Reddit/HN/blog discussions to assess real-world performance
Real product, not a wrapperIndependent product
Felt offers proprietary GIS data processing and geocoding that ChatGPT lacks, plus specialized mapping workflows that automatically parse geographic data from any file format. The AI-powered spatial analysis is domain-specific beyond general LLM capabilities.
Strong evidenceQuality score
Felt An AI-native GIS platform that creates maps instantly from data files for teams replacing legacy software, but has minimal public user feedback
This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of July 15, 2026, not a guarantee or statement of fact about Felt. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on Felt? Dispute any datapoint and we will review it, publish your response, and correct verified errors.
Plans
Pricing
How free is free?
Free with limits
Personal use only; no data uploads or business use on free tier
What you get for free
- Free forever for personal, non-business mapping
- Create maps for personal projects like trip planning
- Share maps with friends
Behind the paywall
- Data file uploadsProfessional
- Business/commercial useProfessional
- Real-time collaborationProfessional
- All vector and raster formatsProfessional
- Field applicationProfessional
- Priority supportProfessional
Community feedback
Aggregated reviews
Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.
What reviewers talk about
themes inside the Sentiment pillar — not score ingredients
63Output Qualitythin data · 7 mentions
“Just used Felt for the first time today. Needed to generate a figure of regional airports in proximity to a site. Very nice tool and great to see that they have a plug-in for r/QGIS . Will be digging into this service more!”
“AI is truly powerful and we’ve watched as it gets applied to data to analyze, interpret and optimize. But what if you were able to dream bigger? What if you could create the mapping apps that help your team perform in just a few keystrokes? Or deliver custom-built tools to client”
“I've recently started trying out Felt and Atlas (which seem pretty similar), but something I'be been wondering is if either can connect directly to a public external API, such as iNaturalist's API. Most public APIs need you to make a specific GET request, and return data in a spe”
“Seems to be a great web-based GIS app. I only tried it out for about an hour, but it worked very well in my testing.”
63Ease of Usethin data · 7 mentions
“Just used Felt for the first time today. Needed to generate a figure of regional airports in proximity to a site. Very nice tool and great to see that they have a plug-in for r/QGIS . Will be digging into this service more!”
“AI is truly powerful and we’ve watched as it gets applied to data to analyze, interpret and optimize. But what if you were able to dream bigger? What if you could create the mapping apps that help your team perform in just a few keystrokes? Or deliver custom-built tools to client”
“What are the barriers to making this easy for people who have no prior experience with a mapping platform or software to use it to share their voice/opinion? Do users have to log in to edit? Is there a way to ensure all mapping commentary/edits are anonymous regardless of whether”
“Hey! Álvaro from Felt here. Yes, only logged in users can edit the map, but anonymous users (not logged in) can also add comments if the map settings allow it No, only users that aren’t signed in are anonymous, but only map editors can view comments (other viewers, logged in or n”
Capabilities
Key features
Maps Generator
Builds stylized or fantasy maps and geographic visuals from descriptions or data
Analytics Assistant
Interprets data, surfaces trends, and answers questions about your business metrics
Data Mining
Extracts patterns and useful information from large datasets for analysis
The honest take
What users love & flag
Distinct themes surfaced across 5 reviews from 1 source — each grounded in real review text, ranked by how often it comes up.
Questions
Frequently asked
What is Felt?
Felt is a cloud-native GIS platform that transforms spreadsheets, databases, and files into interactive maps using AI assistance. It's designed to replace legacy desktop GIS software by allowing users to upload any file format and automatically convert it to maps without complex data preparation. The platform enables real-time collaboration and connects to live data sources for synchronized mapping.
Is Felt free to use?
Felt offers a free Personal plan for non-business mapping like planning trips or personal projects, but you cannot upload data files on this plan. There's also a 7-day free trial of Professional features that includes 10 full seats, unlimited viewers, and all vector/raster format support with no credit card required.
What file formats can I upload to Felt?
Felt accepts any file format including Shapefiles, GeoTIFF, CSV, Excel, KML, and geodatabases through its 'Upload Anything' system. The platform automatically geocodes addresses, geomatches boundaries, and parses geometry columns without requiring manual data preparation or format conversions.
Can Felt connect to live databases?
Yes, Felt can connect to live data sources including Postgres, Snowflake, BigQuery, Databricks, and Amazon S3. Data stays synchronized on configurable refresh schedules, allowing your maps to update automatically as your underlying data changes.
How does Felt's AI map generation work?
Felt AI allows you to generate maps through natural language prompts, transforming questions into visual maps automatically. The platform also integrates with AI assistants like Claude and ChatGPT through MCP server integration, allowing these AI tools to create and manipulate maps directly.
What platforms is Felt available on?
Felt runs entirely in web browsers across Mac, Windows, Linux, and ChromeOS without requiring software installation. The platform also offers dedicated iOS and Android field applications for mobile data collection with GPS tracking and offline functionality.
Can I embed Felt maps in my website or application?
Yes, Felt provides embedded map capabilities for external websites and applications through its REST API and JavaScript SDK. This allows you to integrate interactive maps directly into your own products or websites.
Does Felt support real-time collaboration?
Felt offers real-time collaborative editing with live cursors, allowing multiple team members to work on maps simultaneously. This addresses the collaboration limitations of traditional desktop GIS software and enables teams to work together seamlessly on mapping projects.
Can I use Felt for field data collection?
Yes, Felt provides dedicated mobile apps for iOS and Android that support field data collection with GPS tracking and offline functionality. This allows teams to collect spatial data in the field and sync it back to their collaborative mapping projects.
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