# Word, Excel & PowerPoint to PDF Converter (LibreOffice) (`raional/office-to-pdf-converter`) Actor Convert DOCX, XLSX, PPTX, DOC, XLS, PPT, RTF, CSV, and ODF files to PDF exactly as Office would render them. Powered by LibreOffice headless via unoserver. - **URL**: https://apify.com/raional/office-to-pdf-converter.md - **Developed by:** [Raion Al](https://apify.com/raional) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $30.00 / 1,000 documents This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Word, Excel & PowerPoint to PDF Converter: LibreOffice-Powered Convert **Word, Excel, PowerPoint, and ODF files to PDF** exactly as Office would render them: real fonts, real page layout, real tables, not an HTML/Markdown intermediate. Powered by [LibreOffice](https://www.libreoffice.org/) headless, driven via [unoserver](https://github.com/unoconv/unoserver) (MIT licensed). Great for: **word to pdf**, **docx to pdf**, **excel to pdf**, **powerpoint to pdf**, **office to pdf converter**, **document conversion API**, generating PDF invoices/reports/contracts from DOCX/XLSX templates, archiving legacy DOC/XLS/PPT files as PDF, and any pipeline that needs a faithful, print-ready PDF rather than a lossy reflow. ### Why LibreOffice instead of Pandoc Most "document converter" tools on the Store go through Pandoc + an HTML/CSS renderer (WeasyPrint or similar). That's fine for Markdown/HTML, but it re-flows Word/Excel/PowerPoint files through an intermediate format and loses real formatting (exact fonts, cell borders, slide layout, page breaks). This actor runs the **actual LibreOffice rendering engine**, the same one that opens the file when you double-click it, so headers, tables, embedded images, and multi-sheet spreadsheets come out the way the source document actually looks, one PDF page per printed page. ### Supported input formats | App | Formats | |---|---| | Word | `.docx`, `.doc`, `.odt`, `.rtf` | | Excel | `.xlsx`, `.xls`, `.ods`, `.csv` | | PowerPoint | `.pptx`, `.ppt`, `.odp` | Output is always PDF. ### What it does Give it one or more document URLs, or upload a file directly. It downloads each one, converts it to PDF with a real headless LibreOffice instance, and returns a dataset row per document with a link to the resulting PDF (stored in the run's key-value store, downloadable directly, no separate hosting step). ### Example input ```json { "documents": [ "https://example.com/quarterly-report.docx", "https://example.com/budget.xlsx" ], "maxDocuments": 20 } ```` ### Output One row per document: | Field | Description | |---|---| | `sourceUrl` | The document URL that was converted | | `fileName` | Detected file name | | `pdfUrl` | Direct downloadable link to the converted PDF | | `pageCount` | Pages in the resulting PDF | | `sizeBytes` | Size of the PDF in bytes | | `status` | `ok` or `error` | | `error` | Error message (only present when `status` is `error`) | ### Pricing Billed **per document successfully converted**. Failed documents (unsupported file type, broken download, corrupt source file) are **not charged**. ### International text & fonts Font packages for Latin, CJK (Chinese/Japanese/Korean), and Tamil scripts are bundled, so non-Latin text in source documents renders correctly in the output PDF rather than as missing-glyph boxes. ### FAQ **How do I convert a Word document to PDF?** Paste the `.docx` (or `.doc`/`.odt`/`.rtf`) URL into `documents` and run. The output row's `pdfUrl` links straight to the converted PDF. **Does this work for Excel and PowerPoint too?** Yes. `.xlsx`/`.xls`/`.ods`/`.csv` and `.pptx`/`.ppt`/`.odp` are all supported the same way. **Will the PDF look exactly like the original document?** Yes. Conversion runs through a real LibreOffice instance (the same engine behind the desktop app), not a Markdown/HTML intermediate, so fonts, tables, and page layout are preserved. **What happens if I give it a file that isn't a real Office document?** It returns a clean `error` row explaining the file type isn't supported (or that the download failed). It does not charge you and does not crash the run. **Can I upload a file instead of pasting a URL?** Yes. Use the "Or upload a file directly" field in the input. ### Please note Only convert documents you have the right to process. Documents are processed transiently for the conversion and are not retained beyond what's needed to serve the output PDF from the run's storage. Built with [Apify Python SDK](https://docs.apify.com/sdk/python/) + [LibreOffice](https://www.libreoffice.org/) ([MPL-2.0](https://www.libreoffice.org/about-us/licenses/)) via [unoserver](https://github.com/unoconv/unoserver) (MIT). # Actor input Schema ## `documents` (type: `array`): List of Word/Excel/PowerPoint/ODF file URLs to convert to PDF. Leave empty if you're only using the file upload field below. ## `uploadedDocument` (type: `string`): Have a file on your computer instead of a URL? Upload it here. Combines with any URLs listed above. ## `maxDocuments` (type: `integer`): Safety cap on how many documents to process in one run. ## Actor input object example ```json { "documents": [ "https://raw.githubusercontent.com/alainprocs/apify-test-fixtures/master/test-document.docx" ], "maxDocuments": 20 } ``` # Actor output Schema ## `documents` (type: `string`): One dataset row per document: sourceUrl, fileName, pdfUrl, pageCount, sizeBytes, status. ## `summary` (type: `string`): Counts of documents processed and errors. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "documents": [ "https://raw.githubusercontent.com/alainprocs/apify-test-fixtures/master/test-document.docx" ] }; // Run the Actor and wait for it to finish const run = await client.actor("raional/office-to-pdf-converter").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "documents": ["https://raw.githubusercontent.com/alainprocs/apify-test-fixtures/master/test-document.docx"] } # Run the Actor and wait for it to finish run = client.actor("raional/office-to-pdf-converter").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "documents": [ "https://raw.githubusercontent.com/alainprocs/apify-test-fixtures/master/test-document.docx" ] }' | apify call raional/office-to-pdf-converter --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=raional/office-to-pdf-converter", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Word, Excel & PowerPoint to PDF Converter (LibreOffice)", "description": "Convert DOCX, XLSX, PPTX, DOC, XLS, PPT, RTF, CSV, and ODF files to PDF exactly as Office would render them. Powered by LibreOffice headless via unoserver.", "version": "0.1", "x-build-id": "yjRIi8VQYFVt9QKSp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/raional~office-to-pdf-converter/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-raional-office-to-pdf-converter", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/raional~office-to-pdf-converter/runs": { "post": { "operationId": "runs-sync-raional-office-to-pdf-converter", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/raional~office-to-pdf-converter/run-sync": { "post": { "operationId": "run-sync-raional-office-to-pdf-converter", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "documents": { "title": "Document URLs", "type": "array", "description": "List of Word/Excel/PowerPoint/ODF file URLs to convert to PDF. Leave empty if you're only using the file upload field below.", "items": { "type": "string" } }, "uploadedDocument": { "title": "Or upload a file directly", "type": "string", "description": "Have a file on your computer instead of a URL? Upload it here. Combines with any URLs listed above." }, "maxDocuments": { "title": "Max documents per run", "minimum": 1, "maximum": 200, "type": "integer", "description": "Safety cap on how many documents to process in one run.", "default": 20 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```