# DOCX to PDF Converter (no file retention) (`hushvert/docx-to-pdf`) Actor

Convert Word documents (DOCX) to PDF through a privacy-first conversion API. Inputs are deleted the moment the conversion finishes; outputs auto-delete within about an hour. Real LibreOffice rendering with nothing to install, honest errors, and no charge for failed runs.

- **URL**: https://apify.com/hushvert/docx-to-pdf.md
- **Developed by:** [Nir Diamant](https://apify.com/hushvert) (community)
- **Categories:** Automation, Developer tools, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$150.00 / 1,000 results

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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## DOCX to PDF Converter (no file retention)

Convert a Word document (.docx) to PDF through a privacy-first conversion API.
Give the actor a direct file URL; get back a PDF in the run's key-value store
plus a dataset row with the metadata, including a direct download link.

### Why this converter

- **No file retention.** The input is deleted the moment the conversion
  finishes. The output is kept for about an hour so you can download it, then
  deleted. Nothing is stored, mined, or reused.
- **Nothing to babysit.** No LibreOffice install, no headless-office flakiness,
  no container of your own to keep patched.
- **Honest failures.** A file that cannot be converted fails the run with the
  real error message. There are no silent retries and no charge for a failed run.

### How do I convert DOCX to PDF on Apify?

1. Press **Start** with the prefilled sample, or paste your own direct .docx URL.
2. Wait for the run to finish; a typical document takes 10 to 20 seconds.
3. Download the PDF from the run's **Storage** tab (the `OUTPUT` record), or
   follow the `outputUrl` in the dataset row.

### Input

```json
{
  "fileUrl": "https://example.com/report.docx"
}
```

- `fileUrl` (required): direct http(s) URL of the .docx file, up to 50 MB.
- `fileName` (optional): base name for the output file.
- `maxWaitSeconds` (optional): how long to wait before failing, default 300.

### Output

- The converted PDF is stored as the `OUTPUT` record of the run's key-value
  store (the dataset row carries its direct `outputUrl`).
- One dataset row per successful conversion: `pair`, `fileName`,
  `outputFileName`, `inputBytes`, `outputBytes`, `durationSeconds`, `outputUrl`.

### How much does it cost?

$0.15 per successful conversion, platform usage included - the price you see
is the whole price. A failed run produces no dataset item and no charge. A free
Apify account is enough to use it; conversions bill against your Apify usage
balance.

### Run it from code

JavaScript ([apify-client](https://docs.apify.com/api/client/js/)):

```js
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hushvert/docx-to-pdf').call({
  fileUrl: 'https://example.com/report.docx',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].outputUrl); // direct PDF download link, valid ~1 hour
```

Python ([apify-client](https://docs.apify.com/api/client/python/)):

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('hushvert/docx-to-pdf').call(
    run_input={'fileUrl': 'https://example.com/report.docx'})
items = client.dataset(run['defaultDatasetId']).list_items().items
print(items[0]['outputUrl'])
```

Plain HTTP (one call, returns the dataset row):

```bash
curl -X POST \
  'https://api.apify.com/v2/acts/hushvert~docx-to-pdf/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN' \
  -H 'content-type: application/json' \
  -d '{"fileUrl": "https://example.com/report.docx"}'
```

### Can I use it from n8n, Make, Zapier, or LangChain?

Yes. Like any Apify actor, it plugs into
[n8n](https://docs.apify.com/platform/integrations/n8n),
[Make](https://docs.apify.com/platform/integrations/make),
[Zapier](https://docs.apify.com/platform/integrations/zapier), and
[LangChain](https://docs.apify.com/platform/integrations/langchain) through
Apify's official integrations; select the actor by name, `hushvert/docx-to-pdf`.
AI agents can also call it as a tool through
[Apify's MCP server](https://docs.apify.com/platform/integrations/mcp).

### Is it private?

- The conversion itself runs on hushvert's server lane (LibreOffice under the
  hood), not inside this actor. Retention: inputs deleted at conversion end,
  outputs auto-deleted after about an hour.
- Your documents are never stored beyond that window, never mined, and never
  used to train anything.
- Password-protected or corrupt files fail with the converter's real error.

### FAQ

#### What is the file size limit?

50 MB per file.

#### Will the PDF match Word's output exactly?

The conversion runs through a headless LibreOffice lane. Standard documents
(text, tables, images, headers and footers) come out as the original prints.
A file that leans on Word-only features can differ from Word's own output; if
fidelity to Word is critical, spot-check the first conversion.

#### What happens when a conversion fails?

The run fails with the converter's real error message, produces no dataset
item, and charges nothing.

#### Can I convert files in bulk?

Yes: call the actor once per file from your code or workflow tool. Each file is
one run and one $0.15 charge; failed files cost nothing.

### More private converters from hushvert

- [PDF to DOCX](https://apify.com/hushvert/pdf-to-docx): PDF back to editable
  Word, real text and tables, correct Hebrew/Arabic reading order.
- [Office to PDF](https://apify.com/hushvert/office-to-pdf): Word, Excel,
  PowerPoint, OpenDocument, RTF, HTML in; PDF out. One actor, eleven formats.
- [PDF to Markdown](https://apify.com/hushvert/pdf-to-markdown): clean Markdown
  for LLM context windows and RAG ingestion.
- [Document to Markdown](https://apify.com/hushvert/document-to-markdown):
  eight document formats to Markdown, inline in the dataset.
- [HTML to PDF](https://apify.com/hushvert/html-to-pdf): real Chromium render,
  paste HTML inline for invoices and reports.
- [Video to MP4](https://apify.com/hushvert/video-to-mp4): MOV, MKV, WEBM, AVI,
  GIF to universal MP4, files up to 500 MB.

### Who is behind this actor?

Built by the hushvert founder. The browser-side conversion engine is MIT open
source (`@hushvert/engine` on npm); formats a browser can convert (images, HEIC,
audio, archives, PDF page ops) are free and client-side at
https://hushvert.com and are deliberately not sold here. Developer API docs:
https://hushvert.com/for-developers

# Actor input Schema

## `fileUrl` (type: `string`):

Direct http(s) download URL of the input file. The file is fetched once, converted, and the input is deleted the moment the conversion finishes.

## `fileName` (type: `string`):

Base name for the converted file. Defaults to the name in the URL.

## `maxWaitSeconds` (type: `integer`):

How long to wait for the conversion before failing. Default 300.

## Actor input object example

```json
{
  "fileUrl": "https://hushvert.com/samples/sample.docx"
}
```

# Actor output Schema

## `convertedFile` (type: `string`):

The converted file, stored as the OUTPUT record of the run's key-value store.

## `conversions` (type: `string`):

One dataset row per successful conversion: file names, byte counts, duration.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "fileUrl": "https://hushvert.com/samples/sample.docx"
};

// Run the Actor and wait for it to finish
const run = await client.actor("hushvert/docx-to-pdf").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "fileUrl": "https://hushvert.com/samples/sample.docx" }

# Run the Actor and wait for it to finish
run = client.actor("hushvert/docx-to-pdf").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "fileUrl": "https://hushvert.com/samples/sample.docx"
}' |
apify call hushvert/docx-to-pdf --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hushvert/docx-to-pdf"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/NuRs1Zei1Eh6LUbMg/builds/zo4Wy8pP0aH4O0uua/openapi.json