Markdown to PDF Converter Hub

For AI agents & AI coders

Building with an AI coder (Claude Code, Cursor) or an agent? You do not need to read this page. Copy the block below and paste it to your AI - it points at the open repos and the live endpoints, and your AI can take it from there.

I want to turn AI-generated markdown / analysis into a professionally formatted PDF
(and HTML) report. Tigzig runs this free and open-source. Open repos:

BACKENDS (services):
- Markdown-to-PDF converter (FastAPI + ReportLab; reusable PDF components, side-by-side
  tables, embedded charts, custom styling): https://github.com/amararun/shared-reportlab-md-to-pdf
- Technical Analysis backend (indicators + charts + AI commentary -> report):
  https://github.com/amararun/shared-fastapi-mcp-technical-analysis

FRONTENDS (live tools):
- Quants Agent (React; an AI agent builds a technical-analysis report end to end):
  https://github.com/amararun/shared-portfolio-analysis-react
- Portfolio Analysis Suite (Google-AI-Studio UI): https://github.com/amararun/shared-portfolio-analysis-googleui

LIVE, no-auth endpoints:
- Markdown -> PDF (base https://mdtopdf.tigzig.com):
    POST /api/convert/text {content, filename}   -> PDF (standard)
    POST /text-input       {text, image_path}    -> {pdf_url, html_url} (report style: side-by-side + charts)
    POST /api/upload-image multipart file        -> {image_path}
    MCP: https://mcp-md-to-pdf.tigzig.com/mcp (tool convert_markdown_to_pdf)
- Technical Analysis report: https://ta.tigzig.com (docs /docs) · MCP https://ta.tigzig.com/mcp (tool create_technical_analysis)
- Quants backends (MCP): quantstats-h.tigzig.com/mcp, qrep-api.tigzig.com/v1/mcp/http, ffn.tigzig.com/mcp, yfin-h.tigzig.com/mcp

Read the repos, then help me: produce clean structured markdown from my data and POST it
to the right endpoint to get a formatted report.

What you get

One markdown-to-PDF engine, exposed four ways - pick whichever fits how you work:

• Free web tool - paste markdown or drop a .md file, download a PDF. mdtopdf.tigzig.com. No sign-up, no key.
• Open HTTP API - POST markdown, get a PDF (or a hosted report). No auth. Call it from any app, script, or no-code tool.
• MCP server - mount it in Claude, Cursor or n8n and let an agent produce PDFs as a tool call.
• Open source - the whole thing is on GitHub (FastAPI + ReportLab). Run it as your own service, or reuse the components to build your own report format.

Under the hood it is ReportLab - the same engine that renders every report across Tigzig. That is the difference from a quick markdown-to-HTML-to-PDF route: precise, professional, paginated layout you control.

Two report styles

The converter gives you two output styles. Choose by what you are making:

• Standard (/api/convert, /api/convert/text) - a clean document layout for any markdown. Headings, lists, tables, code, blockquotes. Returns the PDF file directly. Best for docs, notes, generic reports.
• Report style (/text-input) - a richer report template with side-by-side tables and embedded charts, plus custom styling. Saves both a PDF and an HTML version and returns their URLs (the report is hosted for you). Best for analytical reports - this is what the Technical Analysis app uses.

Both accept the same markdown; the report style just adds the layout and hosting.

APIs & MCP

All no-auth. The showcase Technical Analysis backend, the Quants Agent backends, and this converter - each exposed as an HTTP API and an MCP server.

Reusable building blocks

The converter is built from ReportLab flowables that almost nobody packages up as a ready-to-use service. Markdown maps straight onto them:

• Headings (H1-H6), paragraphs, bold / italic, horizontal rules, blockquotes.
• Lists - bulleted and numbered, nested.
• Tables - standard layout, and side-by-side table blocks (two columns of data or two charts next to each other).
• Images / charts - upload a PNG, reference it in the markdown, and it is embedded and sized for the page.
• HTML-in-markdown - embedded HTML tables and tags are allowed through an allowlist sanitizer, so it is safe to feed raw AI output.

Want a different look? Fork the repo and define your own styles, page template, or a new endpoint for a fixed report format. The components do the heavy lifting.

Send AI output, get a formatted report

The pattern this page exists for: take data, have an AI turn it into structured markdown, then POST that to the converter and get a report back. The trick is getting the AI to return clean markdown (not prose with a markdown sample buried in it).

1. Ask the AI for markdown only. Tell it: "Return only GitHub-flavored markdown. Use ## headings for sections, - for bullets, | a | b | tables for any data, and ![caption](chart.png) for charts. No preamble, no explanation." A tight format instruction is what makes this reliable.

2. (Optional) upload charts. If your report has images, POST each to /api/upload-image first and use the returned image_path in the markdown.

3. POST the markdown. Standard PDF: /api/convert/text. Report style with charts and side-by-side tables: /text-input.

import requests

# Standard: markdown text -> PDF (returns the file)
r = requests.post("https://mdtopdf.tigzig.com/api/convert/text",
    json={"content": ai_markdown, "filename": "report.pdf"})
open("report.pdf", "wb").write(r.content)

# Report style: markdown + chart -> hosted PDF + HTML (returns URLs)
img = requests.post("https://mdtopdf.tigzig.com/api/upload-image",
    files={"file": open("daily.png", "rb")}).json()["image_path"]
out = requests.post("https://mdtopdf.tigzig.com/text-input",
    json={"text": ai_markdown, "image_path": img}).json()
print(out["pdf_url"], out["html_url"])

For a full worked example - compute indicators, render charts, get AI commentary, upload, convert - read the Technical Analysis repo. It does exactly this against this converter.

FAQ

Repos & code

Everything here is open source - two backend services and two live-tool front ends. Run them yourself, or reuse the components to build your own.

Backends (services)

Front ends (live tools)

These open-source repos ship with basic security checks built in. They are point-in-time snapshots, so for the most current security guidelines and hardening practices, see the continuously-updated checklist at tigzig.com/security.