Document-to-Markdown Platform for AI For Sale

Document-to-Markdown Platform for AI

Micro-SaaS

Platform that converts 20+ file formats and entire websites into clean, structured Markdown for LLMs, AI agents, and RAG pipelines.

Published on June 2, 2026

$15,000

Asking Price

Main Metrics

Overview

Startup description

My product is a document intelligence platform that turns 20+ file formats and entire websites into clean, AI-ready Markdown for LLMs, agents, and RAG pipelines. Inputs include PDF, Word, PowerPoint, Excel, HTML, CSV, JSON, XML, ZIP, images (JPEG, PNG, TIFF, WebP, GIF, BMP), audio (MP3, WAV), EPUB, email (MSG, EML), plain text, and entire websites via URL-to-Markdown scraping. AI Vision OCR is available on premium plans for scanned and image-heavy documents.

The product ships in three layers: a Next.js 14 marketing site with a 158-page indexed content library, a SaaS dashboard with organization and seat management, and a public conversion API at mdconvert with key-based authentication. A no-signup free path lets any visitor convert up to five files instantly.

Over the last 90 days, the site has drawn 9,188 unique visitors and 14,115 pageviews. The platform has 446 registered users across 440 organizations, 4,444 lifetime conversions with an 88.3% success rate (99.1% over the last 30 days), and 30 active paying subscriptions across six plan tiers in 24 countries.

I built it because I kept hitting the same problem in my own AI work: every document I fed to an LLM had to be converted to Markdown first, because that is the format LLMs understand best. The tools I tried all had friction: signup walls, payment walls, or weak output. I wanted something where you upload a file, and it just works.

The platform has been running since October 2025, used by me and a small circle of people I knew. No marketing, no content, just a working tool while I refined the engine and added formats.

The public launch was in January 2026 with the marketing site, content library, and pricing live. I designed it around removing friction: anyone can convert up to five files without an account, which is why a meaningful share of conversion volume is anonymous. After launch, I added URL-to-Markdown scraping and AI Vision OCR. Solo build from day one.

Key highlights:

Team

Solo founder, no employees, no contractors. Every role is performed by one person: product engineering on the marketing site, dashboard, and conversion API; design and content for the 158-page indexed library; SEO, directory submissions, and AI-tool discoverability work; customer support; infrastructure and DevOps on Azure; and financial oversight, including Dodo reconciliation.

Daily workload is light because the platform is automated end to end: a quick scan of new signups (two to three per day), a check on the conversion pipeline for errors, and replies to the occasional support email. There are no manual sales motions, no contracts to negotiate, no demos to give. A buyer takes over a clean operational footprint with no payroll obligations, no contractor liabilities, and no team transition risk.

Tech Stack

Marketing and growth

All acquisitions are organic. Zero ad spend, zero paid acquisition, zero marketing expense across the entire history of the business.

The growth engine has three reinforcing layers.

First, format-specific conversion landing pages. /conversion/powerpoint drew 2,421 entries in the last 90 days, /conversion/pdf 1,450, plus /conversion/excel, /conversion/word, and /conversion/epub. These rank for high-intent queries like "pdf to markdown" and account for the largest share of inbound traffic.

Second, long-tail SEO blog content.

Third, AI assistants and directories. ChatGPT, Perplexity, Copilot, NotebookLM, Kagi, and Brave Search surface my platform organically. Listings in AiToolnet, Toolmage, theNeuron, and Product Hunt add compounding inbound traffic.

Results: monthly unique visitors grew from 1,482 in October 2025 to 4,460 in May 2026 MTD, a +201% lift in seven months. The pricing-page-to-paid conversion rate is 15% over 90 days. 66% of revenue over the last 90 days comes from returning customers.

Revenue and profit

Revenue model: SaaS subscriptions plus a usage-based AI Vision credit pack. Six paid plan tiers from Starter at $8.99/month to Scale at $99.99/month, with monthly or annual billing.

Monthly revenue trend (FX-normalized to USD via Dodo Payments):

42% of paying customers have made two or more successful payments, averaging 2.5 payments per customer. Customer concentration: top customer 17% of MRR, top 3 = 33%, top 5 = 40%, top 10 = 59%. All on standard self-serve plans, no custom contracts.

Return on investment

Payback depends on the final purchase price and the buyer's operating model. A few framing scenarios:

Startup assets

Everything required to operate the business transfers with the sale.

Codebase:

Content and SEO:

Data and users:

Infrastructure and accounts:

Brand and IP:

Risks

Four risks a buyer should plan for, each with a mitigation path.

Summary

My product is a working AI-infrastructure asset, not a prototype.

Three reasons to buy:

  1. It is profitable and self-sustaining. No paid marketing, no contractor costs, no operating expense in cash terms. Net income tracks gross revenue.
  2. The moats are real. 158 indexed content pages already ranking, AI-assistant discoverability across ChatGPT, Perplexity, Copilot, NotebookLM, and Kagi, multi-currency global payment infrastructure, and an established no-signup brand. None of this is buyable; all of it would take 12 to 18 months to rebuild from zero.
  3. The upside is documented in the listing. Five growth levers are unactivated. The conversion API is built but commercially dormant. Team and seat selling is untouched despite the infrastructure existing. Email reactivation has never been turned on. Prices have never been raised since launch. AI Vision OCR adoption sits at 3.5% of conversions.

The current owner is a solo founder shifting focus to a new venture. The right home for the startup is inside a larger AI product, developer platform, RAG vendor, or content workflow tool where it becomes a feature rather than a destination, and where the unit economics flip.

✅ $1,065 TTM revenue
✅ 30 customers
✅ Business model: SaaS

$1,065

Annual Revenue

30

Number of Customers

Expenses

$12 annually for Domain, no other expenses.

Business Model

SaaS subscriptions plus a usage-based AI Vision credit pack. Six paid tiers from Starter ($8.99/mo) to Scale ($99.99/mo+), monthly or annual. Free path lets anyone convert up to five files with no signup. 30 active paying subs in 24 countries.

Target Audience

Individual knowledge workers and prosumers using LLMs. 73% sign up with personal email, 99% of organizations are solo workspaces. Paying customers span 24 countries, US the largest at 38%. PDFs and Word docs are 81% of conversion volume.

Asking Price Reasoning

Reflects what's built, not just current revenue. Near-zero CAC from organic + AI surfaces, visitors doubled in 6 months, 30 paying subs across six tiers, 158 indexed pages, live API. Rebuilding this footprint would take 12 to 18 months.

Reason for Selling

Standalone has hit its growth ceiling; the real upside is as an embedded layer inside a larger AI product, dev platform, or RAG vendor. I'm also building a separate venture and securing investment for it, so I don't have the bandwidth this deserves.

Growth Opportunity

Five unactivated levers: API monetization (built, 8 lifetime calls), team/seat selling (99% solo orgs), email reactivation (never turned on), price increases (never raised since launch), AI Vision upsell (3.5% adoption). Each backed by data.

30 days free support from seller

Premium members will receive 30 days of free post-sale support from our sellers.

Competitors

Closed-source competitors: CloudConvert, LlamaParse, Reducto, Aspose, ConvertAPI. Differentiators: no-signup access (up to five files), AI-native Markdown output, 20+ formats including audio and URL scraping, AI-assistant discoverability.

Tech Stack

TypeScript, TailwindCSS, Next.js, PostgreSQL, Python.

Traffic Metrics

Revenue Metrics

How it works

$15,000

Asking Price

Main Metrics

Founder Details

Main Metrics