Free file converter

1. Drop your file. Drag it onto the box above or click to browse. The tool reads the file extension and shows only the target formats that actually make sense for that file.
2. Pick a target format. Use the dropdown to choose where you want to convert to — for example a .docx file offers HTML, plain text, Markdown, and PDF.
3. Click Convert. The conversion runs immediately on your device. A short Converting… state appears while larger files or PDF rendering finish.
4. Download the result. Once conversion finishes, a download button appears with the new file name and size — click it to save the converted file.

Because everything happens locally, you can convert as many files as you like with no account, no daily limit, and no file ever leaving your device.

To set expectations clearly: this tool converts documents, spreadsheets, data formats, and images — the file types people actually attach to emails, download from banks and vendors, or pull out of a CMS. It does not convert video or audio files, and it is not a substitute for professional desktop publishing software when it comes to complex Word documents. A DOCX with multiple columns, embedded objects, tracked changes, or unusual page layouts may not come out pixel-perfect when converted to PDF — the text and structure will be there, but exact visual fidelity to the original Word layout isn't guaranteed. For straightforward documents — reports, letters, resumes, notes, and most business documents — the output is clean and reliable.

The honest reason for these limits is how the conversion actually happens. A server-based converter can run a full copy of Microsoft Word, LibreOffice, or a professional PDF rendering engine on its backend and hand you back an exact copy of the original layout — at the cost of uploading your file to that server first. This tool instead runs open-source JavaScript libraries directly in your browser tab, which is what makes it free, private, and instant, but it also means it reconstructs a document's structure rather than replaying Word's or Excel's exact rendering engine. For text-heavy documents, spreadsheets, and data files — the large majority of real-world conversion requests — that difference rarely matters. For a contract with a precise two-column legal layout or a spreadsheet with heavy conditional formatting, a desktop application will still give you a more faithful result.

Here is every conversion this tool currently supports, grouped by input file type:

For CSV and JSON conversions, the JSON side needs to be an array of objects — the same shape you would get from an API response or a database export.

Converting a Word document to PDF is one of the most common file-conversion needs — job applications, contracts, and reports all tend to end up as a final PDF before they're sent anywhere. This tool reads your .docx file directly in the browser, extracts its text and structure, and can output it as HTML, plain text, Markdown, or a paginated PDF on A4 pages with proper margins. Because the whole document never leaves your device, it's a fast option for contracts, resumes, or drafts you'd rather not upload to a random web form just to get a PDF copy. Note that this reads modern .docx files (Word 2007 and newer, the XML-based format) — the legacy binary .doc format used by Word 97–2003 isn't supported, since that older format requires a different parser entirely.

Beyond PDF, the DOCX to HTML and DOCX to Markdown options are worth knowing about on their own. Converting to HTML preserves headings, bold and italic text, and links as proper markup, which is useful when migrating a document into a CMS or web page. Converting to Markdown strips things down to lightweight, portable plain text with the same structural cues — handy for pasting a Word-drafted document into a GitHub README, a Notion page, or any tool that speaks Markdown natively instead of rich text.

Excel to CSV conversion is the classic case: someone sends you an .xlsx file, but the tool you need to import it into — a CRM, an ad platform, a database loader — only accepts CSV. This converter reads the first sheet of your workbook and can output it as CSV, TSV, JSON, or a plain HTML table, which is useful for pasting spreadsheet data straight into an email or a wiki page without screenshotting a grid of cells. The reverse direction works too: convert a CSV or TSV export into a proper .xlsx workbook when you need to hand data to someone who expects a real Excel file, with typed columns, rather than a plain-text export that some spreadsheet programs mangle on import.

One detail worth knowing: this converter reads only the first sheet of a multi-sheet workbook. If your .xlsx file has data spread across several tabs, split out the sheet you need into its own file first, or expect only that first tab to come through in the conversion. For quickly checking what a CSV export actually contains before deciding what to convert it to — searching, sorting, and browsing rows like a lightweight spreadsheet — try the CSV viewer first.

Developers and data analysts constantly need to move between structured data formats. JSON to YAML is common when working with Kubernetes manifests, GitHub Actions workflow files, or configuration files that accept either format but a teammate or a style guide prefers one over the other. YAML to JSON runs the other direction, for tools and APIs that only parse JSON and choke on YAML's indentation-based syntax. And converting a JSON array of records straight into a spreadsheet (JSON to Excel) skips the manual copy-paste step entirely when you need to hand raw API data to someone who lives in spreadsheets and has no interest in reading curly braces.

Under the hood, all of these data-format conversions rely on the same underlying shape: a list of records, each one a flat set of key-value pairs. That's why the JSON side of every conversion here expects an array of objects rather than an arbitrarily nested structure — a deeply nested JSON document (say, an object containing other objects several levels deep) doesn't map cleanly onto rows and columns, so it isn't a good fit for CSV or Excel output. If your JSON is already flat — one object per record, with simple string or number values — the conversion is a clean, lossless round trip in either direction.

Writers and developers frequently draft in Markdown and need HTML or a PDF for the final destination. Converting .md to HTML produces clean, semantic markup ready to paste into a CMS or static site, while converting Markdown or an existing HTML file straight to PDF gives you a shareable, print-ready document without opening a word processor. If you only need the HTML output with a live preview as you type, the dedicated Markdown to HTML converter is worth a look too.

It's easy to default to PDF for everything, but the right target format depends on what happens to the file next. PDF is the right call whenever the document is finished and needs to look the same on every device — a resume, an invoice, a signed contract. HTML makes more sense when the content is headed for a web page or CMS field, since it preserves headings, links, and emphasis as structural markup rather than flattening everything into a fixed page image. Plain text is the right choice when you just need the words — pasting into a plain-text field, a chat message, or an old-school system that chokes on formatting. And for anything tabular, the decision usually comes down to the receiving tool: CSV is the most universally accepted plain-text table format, TSV is occasionally required by tools that treat commas inside data as a delimiter conflict, and XLSX is the right pick whenever a human is going to open the file directly in Excel or Google Sheets rather than feed it to another program.

• Privacy by default. Most online file converters work by uploading your file to their server, converting it there, and sending back a download link — meaning your document, spreadsheet, or image passes through a third party you don't control. This tool never sends your file anywhere; the conversion happens using JavaScript running in your own browser tab.
• No size limits tied to a plan. Upload-based converters often cap free users at a small file size or a handful of conversions per day. Because there's no server doing the work here, the only limit is what your own device can handle.
• Works offline. Once the page has loaded, conversions keep working even without an internet connection, since nothing round-trips to a server.
• Safe for sensitive documents. Contracts, resumes with personal details, internal spreadsheets, and client data never touch a server you don't control, which matters for anyone handling confidential or regulated information.
• No account, no watermark. There's nothing to sign up for and no branding added to your converted file.

Yes. Every conversion — reading the DOCX, parsing the spreadsheet, rendering the PDF, decoding the image — runs with JavaScript libraries loaded into this page and executed entirely on your device. Your file is read directly from disk into browser memory using the File API; it is never attached to a network request, never logged, and never stored anywhere by this tool. That makes it a safe option for private business documents, personal data exports, and any file you wouldn't want sitting on someone else's server.

• Job seekers converting a resume from Word to PDF so formatting stays identical across every device it's opened on.
• Analysts & operations teams moving data between Excel, CSV, and JSON to feed different tools and dashboards.
• Developers converting configuration files between JSON and YAML, or turning API exports into spreadsheets for stakeholders.
• Writers & bloggers turning Markdown drafts into HTML or a shareable PDF without a static site build step.
• Small business owners converting a quote or invoice drafted in Word into a PDF to send to a client.
• Students & researchers converting notes and data exports between formats their software or professor requires.

Once your file is converted, you might also want to check the result — the PDF to JPG tool extracts pages from a PDF as images, and the encoder / decoder handles Base64, URL, and other text encodings this converter doesn't.