Badges

Conference badge PDF API

Printable event badge with attendee name, company, ticket tier, track, and QR-ready payload text. Good for conference platforms and check-in tools. Send this LaTeX template and JSON data to Texify in one /render request.

Render sample View fields

JSON schema

Fields this template expects.

Field	Type	Required	Description
attendee	object	Yes	Name, title, company, and ticket type.
event	object	Yes	Event name, date, venue, and brand color.
qr_code	string	Yes	Check-in or profile URL rendered as monospaced QR-ready payload.
track	string	No	Conference track or access group.

API examples

POST LaTeX and JSON. Receive PDF bytes.

curl

cat > conference-badge-payload.json <<'JSON'
{
  "entrypoint": "main.tex",
  "resources": {
    "main.tex": "\\documentclass[10pt]{article}\n\\usepackage[paperwidth=4in,paperheight=6in,margin=0.25in]{geometry}\n\\usepackage{xcolor}\n\\pagestyle{empty}\n\\begin{document}\\sffamily\n\\begin{center}\n{\\Large\\bfseries [[ .event.name ]]}\\\\\n[[ .event.date ]] --- [[ .event.venue ]]\\\\[0.35in]\n{\\Huge\\bfseries [[ .attendee.name ]]}\\\\[0.12in]\n{\\large [[ .attendee.title ]]}\\\\\n{\\large [[ .attendee.company ]]}\\\\[0.25in]\n\\fbox{\\begin{minipage}{0.82\\linewidth}\\centering\\vspace{0.28in}\n{\\large\\texttt{[[ .qr_code ]]}}\\\\[5pt]\n\\small QR-ready payload\n\\vspace{0.28in}\\end{minipage}}\\\\[0.25in]\n{\\Large\\bfseries [[ .attendee.ticket ]]}\\\\[0.08in]\n[[ with .track ]]Track: [[ . ]][[ end ]]\n\\end{center}\n\\end{document}"
  },
  "data": {
    "attendee": {
      "name": "Priya Shah",
      "title": "Platform Engineer",
      "company": "Acme GmbH",
      "ticket": "Speaker"
    },
    "event": {
      "name": "API Conf 2026",
      "date": "2026-09-14",
      "venue": "Berlin"
    },
    "qr_code": "https://checkin.example.com/t/abc123",
    "track": "AI Systems"
  }
}
JSON

curl -sS -X POST https://api.texify.dev/render \
  -H "Content-Type: application/json" \
  --data @conference-badge-payload.json \
  --output conference-badge.pdf

Python

import json
import requests

payload = json.loads(r'''{
  "entrypoint": "main.tex",
  "resources": {
    "main.tex": "\\documentclass[10pt]{article}\n\\usepackage[paperwidth=4in,paperheight=6in,margin=0.25in]{geometry}\n\\usepackage{xcolor}\n\\pagestyle{empty}\n\\begin{document}\\sffamily\n\\begin{center}\n{\\Large\\bfseries [[ .event.name ]]}\\\\\n[[ .event.date ]] --- [[ .event.venue ]]\\\\[0.35in]\n{\\Huge\\bfseries [[ .attendee.name ]]}\\\\[0.12in]\n{\\large [[ .attendee.title ]]}\\\\\n{\\large [[ .attendee.company ]]}\\\\[0.25in]\n\\fbox{\\begin{minipage}{0.82\\linewidth}\\centering\\vspace{0.28in}\n{\\large\\texttt{[[ .qr_code ]]}}\\\\[5pt]\n\\small QR-ready payload\n\\vspace{0.28in}\\end{minipage}}\\\\[0.25in]\n{\\Large\\bfseries [[ .attendee.ticket ]]}\\\\[0.08in]\n[[ with .track ]]Track: [[ . ]][[ end ]]\n\\end{center}\n\\end{document}"
  },
  "data": {
    "attendee": {
      "name": "Priya Shah",
      "title": "Platform Engineer",
      "company": "Acme GmbH",
      "ticket": "Speaker"
    },
    "event": {
      "name": "API Conf 2026",
      "date": "2026-09-14",
      "venue": "Berlin"
    },
    "qr_code": "https://checkin.example.com/t/abc123",
    "track": "AI Systems"
  }
}''')
response = requests.post(
    "https://api.texify.dev/render",
    json=payload,
    timeout=90,
)
response.raise_for_status()

with open("conference-badge.pdf", "wb") as pdf:
    pdf.write(response.content)

Node fetch

import { writeFile } from "node:fs/promises";

const payload = {
  "entrypoint": "main.tex",
  "resources": {
    "main.tex": "\\documentclass[10pt]{article}\n\\usepackage[paperwidth=4in,paperheight=6in,margin=0.25in]{geometry}\n\\usepackage{xcolor}\n\\pagestyle{empty}\n\\begin{document}\\sffamily\n\\begin{center}\n{\\Large\\bfseries [[ .event.name ]]}\\\\\n[[ .event.date ]] --- [[ .event.venue ]]\\\\[0.35in]\n{\\Huge\\bfseries [[ .attendee.name ]]}\\\\[0.12in]\n{\\large [[ .attendee.title ]]}\\\\\n{\\large [[ .attendee.company ]]}\\\\[0.25in]\n\\fbox{\\begin{minipage}{0.82\\linewidth}\\centering\\vspace{0.28in}\n{\\large\\texttt{[[ .qr_code ]]}}\\\\[5pt]\n\\small QR-ready payload\n\\vspace{0.28in}\\end{minipage}}\\\\[0.25in]\n{\\Large\\bfseries [[ .attendee.ticket ]]}\\\\[0.08in]\n[[ with .track ]]Track: [[ . ]][[ end ]]\n\\end{center}\n\\end{document}"
  },
  "data": {
    "attendee": {
      "name": "Priya Shah",
      "title": "Platform Engineer",
      "company": "Acme GmbH",
      "ticket": "Speaker"
    },
    "event": {
      "name": "API Conf 2026",
      "date": "2026-09-14",
      "venue": "Berlin"
    },
    "qr_code": "https://checkin.example.com/t/abc123",
    "track": "AI Systems"
  }
};

const response = await fetch("https://api.texify.dev/render", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify(payload),
  signal: AbortSignal.timeout(90_000),
});

if (!response.ok) throw new Error(await response.text());

const pdf = Buffer.from(await response.arrayBuffer());
await writeFile("conference-badge.pdf", pdf);

The template

LaTeX source sent as resources["main.tex"].

main.tex

\documentclass[10pt]{article}
\usepackage[paperwidth=4in,paperheight=6in,margin=0.25in]{geometry}
\usepackage{xcolor}
\pagestyle{empty}
\begin{document}\sffamily
\begin{center}
{\Large\bfseries [[ .event.name ]]}\\
[[ .event.date ]] --- [[ .event.venue ]]\\[0.35in]
{\Huge\bfseries [[ .attendee.name ]]}\\[0.12in]
{\large [[ .attendee.title ]]}\\
{\large [[ .attendee.company ]]}\\[0.25in]
\fbox{\begin{minipage}{0.82\linewidth}\centering\vspace{0.28in}
{\large\texttt{[[ .qr_code ]]}}\\[5pt]
\small QR-ready payload
\vspace{0.28in}\end{minipage}}\\[0.25in]
{\Large\bfseries [[ .attendee.ticket ]]}\\[0.08in]
[[ with .track ]]Track: [[ . ]][[ end ]]
\end{center}
\end{document}

Live render

Try sample data now.

Posts this LaTeX template and sample JSON to /render, then opens the returned PDF bytes.

Sample data

{
  "attendee": {
    "name": "Priya Shah",
    "title": "Platform Engineer",
    "company": "Acme GmbH",
    "ticket": "Speaker"
  },
  "event": {
    "name": "API Conf 2026",
    "date": "2026-09-14",
    "venue": "Berlin"
  },
  "qr_code": "https://checkin.example.com/t/abc123",
  "track": "AI Systems"
}

FAQ

Can I use Conference badge as a badge PDF API?

Yes. Copy the LaTeX template, send it in resources with your data to /render, and Texify returns PDF bytes.

Can I change colors, copy, or field names?

Yes. Edit the LaTeX source and JSON placeholders to match your data model and brand before posting to /render.

Does this render real PDF text?

Yes. Texify compiles LaTeX to PDF, so text remains selectable, searchable, and stable across environments.

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