Any file. Any size. Right now.
Pre-generated sample files for developers, QA engineers, and designers. PDFs, CSVs, videos, images, audio — ready to download with a single click. Need custom params? Use the file generator.
All formats
67 formats
Portable Document Format — universally supported
XFA PDF
.pdfXFA (XML Forms Architecture) PDF — interactive form with embedded XDP/XML stream
JSON
.jsonJSON array of records — contact/financial/ecommerce schemas
TXT
.txtPlain text — lorem ipsum, log lines, or chat transcripts
SVG
.svgSVG — scalable vector graphics, resolution-independent
DOCX
.docxWord document — paragraphs, tables, headings
PPTX
.pptxPowerPoint presentation — slides with charts
YAML
.yamlYAML — human-readable data serialisation format
NDJSON
.ndjsonNDJSON — Newline Delimited JSON, one record per line
JSONL
.jsonlJSON Lines — used by Spark, BigQuery, and AWS Glue
HTML
.htmlHTML page — landing, blog post, dashboard, form, or email template
CSS
.cssCSS stylesheet — full design system with buttons, cards, forms, nav, and tables
Markdown
.mdMarkdown — formatted plain text with headings, lists, and code blocks
TOML
.tomlTOML — Tom's Obvious Minimal Language config file
Opus
.opusOpus — modern open codec, ideal for VoIP and streaming
AMR
.amrAMR — Adaptive Multi-Rate audio, used in mobile telephony
TS
.tsMPEG-TS — transport stream used in broadcast and HLS
RTF
.rtfRTF — Rich Text Format, cross-platform document standard
ODT
.odtODT — OpenDocument Text, LibreOffice Writer format
ODS
.odsODS — OpenDocument Spreadsheet, LibreOffice Calc format
ODP
.odpODP — OpenDocument Presentation, LibreOffice Impress format
XLS
.xlsXLS — legacy Excel 97–2003 binary spreadsheet
Parquet
.parquetApache Parquet — columnar binary format for analytics
Avro
.avroApache Avro — row-based binary serialisation with embedded schema
MessagePack
.msgpackMessagePack — compact binary serialisation
Need a custom file?
Configure exact parameters — rows, resolution, duration, encoding — and download a file generated on-demand. Or hit the API directly from your CI pipeline.
-d '{"rows":1000}' -o TestFile-csv-1mb.csv