iipmaps turns messy PDFs and CSVs into clean, on-brand visuals fast. Upload data, our AI fixes columns and locations, you pick a template and export. Maps, charts, explainers. Used by FMCG, gov and startups to brief execs and blow up on social.
We’re launching iipmaps: drop a PDF or spreadsheet, get a publish‑ready map or chart in 5 minutes. No code. No GIS. No designer queue.
Why iipmaps transforms the whole “send me the data” dance:
1. Everything visible, not buried. Templates, datasets, brand kits, map layers sit in one place. You see what changed and what shipped. No digging through Slack threads or versioned PPTs.
2. Context is on the canvas. Notes, rules, data cleaning steps, and geographic layers live with the visual. The AI is not guessing your intent from a single prompt.
3. You watch it build. Data gets auto‑cleaned, matched to regions, and rendered in front of you. Tweak labels or colors with drag and drop, hit export, move on.
This makes data-to-visual feel natural, transparent, and actually collaborative, not a black box.
@joey_zhu_seopage_ai Yes! It was such a headache - just to illustrate an India specific case, we have 768 districts, new ones coming up each year. Three pairs have same names. Names get revised time to time - Aurangabad is now Ahilyanagar, Darjeeling is now split into Darjeeling and Kalimpong. Belgavi is also called Belgaum - accounting for all of this manually takes atleast a full day. We have automated all of that!
iipmaps makes turning raw data into polished visuals feel effortless — love the no-code approach and smart cleanup. Great for anyone needing quick, impactful storytelling. Congrats on the launch 🚀
Really like how iipmaps simplifies geographic data visualization - not just making it easier for internal teams to interpret complex data, but also providing a much clearer and more polished way to share insights with external stakeholders.
This addresses a big gap in turning raw location data into presentations that actually drive understanding and decisions.
Kudos on the launch and all the best :)
Report
The live data cleaning blew me away, watched it untangle a district mismatch in seconds. Zero GIS pain and the visuals feel actually presentation-ready.
iipmaps
👋 Hey PH, Ashris here from India in Pixels!
We’re launching iipmaps: drop a PDF or spreadsheet, get a publish‑ready map or chart in 5 minutes. No code. No GIS. No designer queue.
Why iipmaps transforms the whole “send me the data” dance:
1. Everything visible, not buried. Templates, datasets, brand kits, map layers sit in one place. You see what changed and what shipped. No digging through Slack threads or versioned PPTs.
2. Context is on the canvas. Notes, rules, data cleaning steps, and geographic layers live with the visual. The AI is not guessing your intent from a single prompt.
3. You watch it build. Data gets auto‑cleaned, matched to regions, and rendered in front of you. Tweak labels or colors with drag and drop, hit export, move on.
This makes data-to-visual feel natural, transparent, and actually collaborative, not a black box.
What people are already making
* 📊 State-wise consumption heatmaps for board decks (https://x.com/indiainpixels/stat...)
* 🧭 Incident and impact zone maps for security teams (https://www.instagram.com/p/DLAM...)
* 🗳️ Poll results visualized by region or segment in minutes (https://www.instagram.com/p/C180...)
* 🧒 Explainer charts for social that do not look like spreadsheets (https://www.instagram.com/p/C8Bw...)
(Drop me a sheet in the comments and I will post your visual back.)
What we believe
Software should not punish you for messy data. The fastest path from raw info to shared understanding is a visual you can trust and tweak in seconds.
I am here all day. Throw feedback, bugs, impossible map requests. Let’s jam.
AltPage.ai
Omg, the AI that just fixes messy columns for you? That’s a lifesaver tbh—no more spreadsheet headaches. Makers, you nailed the real pain point here!
iipmaps
@joey_zhu_seopage_ai Yes! It was such a headache - just to illustrate an India specific case, we have 768 districts, new ones coming up each year. Three pairs have same names. Names get revised time to time - Aurangabad is now Ahilyanagar, Darjeeling is now split into Darjeeling and Kalimpong. Belgavi is also called Belgaum - accounting for all of this manually takes atleast a full day. We have automated all of that!
Linkinize
iipmaps makes turning raw data into polished visuals feel effortless — love the no-code approach and smart cleanup. Great for anyone needing quick, impactful storytelling. Congrats on the launch 🚀
@ashris and @iipmaps team -
Really like how iipmaps simplifies geographic data visualization - not just making it easier for internal teams to interpret complex data, but also providing a much clearer and more polished way to share insights with external stakeholders.
This addresses a big gap in turning raw location data into presentations that actually drive understanding and decisions.
Kudos on the launch and all the best :)
The live data cleaning blew me away, watched it untangle a district mismatch in seconds. Zero GIS pain and the visuals feel actually presentation-ready.