How to Generate Your First Document

“Generate your first document” can mean two different things: creating a new blank file, or producing a finished document by merging data into a reusable template. Choose the workflow that matches your goal.

One-off document: create a blank file, add the content, and save it.
Repeated document: prepare a template with fields, supply values from a datasource, preview the merge, then generate the output.
Programmatic document: use an API such as Google Docs to create a document and update it with structured requests.

1. Decide what “generate” means

Need	Best starting point	What you need first
A letter, note, or report once	Blank document in a word processor	Content and a filename
Invoices, certificates, or contracts repeatedly	Template merge	Template, field names, and data values
A document created by software	Document API	API credentials, permissions, and a request model
A PDF produced from records	Template plus datasource or integration	Validated template and connected data

A template workflow is not a blank-document workflow. Documint describes it as merging a template with a datasource, while Inkit’s quickstart uses a dynamic field such as {{Name}}, previews a sample merge, saves the template, and then generates the completed document. Documint’s first-document guide and Inkit’s quickstart show these patterns.

2. Create a one-off document manually

Open your word processor or document editor.
Create a new blank document.
Add a descriptive title and the body content.
Apply headings, lists, tables, and page breaks where needed.
Save the source file in the editor’s native format.
Export to PDF only after reviewing pagination, links, images, and headers or footers.

This route is appropriate when the content will not be generated from records. Use a template instead when the same structure will be filled many times.

3. Generate from a reusable template

Prepare the template

Write the fixed text, headings, tables, and legal language.
Choose stable field names, for example {{Name}}, {{InvoiceNumber}}, and {{DueDate}}.
Keep field names consistent with the keys supplied by your datasource.
Decide how missing values should appear: blank, “Not provided,” or a validation error.
Preview the template with representative sample data before saving it.

Supply data and generate

Your data may be entered manually or supplied by an integration. Documint lists Airtable, HubSpot, Zapier, and Make as example connection routes. The general sequence is:

Connect or select the datasource.
Map each datasource field to a template token.
Validate required values and formats.
Run a preview with realistic data.
Generate the document.
Open the result and check the rendered output.

Do not treat a successful merge as proof that the document is correct. A value can be present but still wrap badly, overflow a table, or create an unwanted blank page.

4. Generate a document with the Google Docs API

Google’s API separates document creation from later edits. documents.create creates a document and returns an instance containing its document ID. documents.get retrieves it, and documents.batchUpdate applies updates. Read the Google Docs API concepts documentation before choosing this route.

The examples below assume you already have an OAuth access token with permission to use the API. Store it in an environment variable rather than hard-coding it.

cURL: create a document

export GOOGLE_ACCESS_TOKEN="YOUR_OAUTH_ACCESS_TOKEN"

curl -sS -X POST \
  "https://docs.googleapis.com/v1/documents" \
  -H "Authorization: Bearer $GOOGLE_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"title":"First generated document"}'

Python: create and update a document

import os
import requests

TOKEN = os.environ["GOOGLE_ACCESS_TOKEN"]
headers = {
    "Authorization": f"Bearer {TOKEN}",
    "Content-Type": "application/json",
}

created = requests.post(
    "https://docs.googleapis.com/v1/documents",
    headers=headers,
    json={"title": "First generated document"},
    timeout=30,
)
created.raise_for_status()
document_id = created.json()["documentId"]

text = "Generated from code.\\n"
update = requests.post(
    f"https://docs.googleapis.com/v1/documents/{document_id}:batchUpdate",
    headers=headers,
    json={"requests": [{"insertText": {"location": {"index": 1}, "text": text}}]},
    timeout=30,
)
update.raise_for_status()
print(document_id)

Node.js: create and update a document

const token = process.env.GOOGLE_ACCESS_TOKEN;
if (!token) throw new Error('Set GOOGLE_ACCESS_TOKEN first');

const headers = {
  Authorization: `Bearer ${token}`,
  'Content-Type': 'application/json'
};

const created = await fetch('https://docs.googleapis.com/v1/documents', {
  method: 'POST',
  headers,
  body: JSON.stringify({ title: 'First generated document' })
});
if (!created.ok) throw new Error(await created.text());
const { documentId } = await created.json();

const updated = await fetch(`https://docs.googleapis.com/v1/documents/${documentId}:batchUpdate`, {
  method: 'POST',
  headers,
  body: JSON.stringify({
    requests: [{ insertText: { location: { index: 1 }, text: 'Generated from Node.js.\\n' } }]
  })
});
if (!updated.ok) throw new Error(await updated.text());
console.log(documentId);

For a production generator, keep the creation step separate from the data-validation and rendering steps. Save the returned document ID with your job record so retries do not create duplicate documents accidentally.

5. Validate the result before delivering it

Confirm every required field has a value.
Check dates, currency, identifiers, and phone numbers for the expected format.
Inspect long names and addresses for wrapping or clipped text.
Check tables across page breaks.
Open links and verify that images load.
Review the first and last page for accidental blank pages.
Compare the generated output with a known-good sample.
Record the template version and source-data ID for auditability.

6. Troubleshooting

Symptom	Likely cause	Fix
Tokens remain visible, such as `{{Name}}`	Field name does not match the supplied key	Compare spelling and capitalization in the template and datasource.
A field is empty	Source value is missing or mapped to the wrong field	Validate required values before generation and log the mapping.
Text is cut off	Fixed-height container or unexpected long value	Allow wrapping, increase the container, or impose a documented length limit.
Unexpected blank page	Extra page break, margin, or overflow	Inspect breaks and margins, then test with the longest realistic data.
API returns unauthorized	Expired token, wrong scope, or missing permission	Refresh the OAuth token and verify the API access and document permissions.
Duplicate documents appear after retry	Creation request was repeated after an unknown timeout	Persist a job id and reconcile existing document IDs before creating another file.
Generated PDF differs from preview	Fonts, page size, or rendering environment changed	Use the same rendering settings in preview and production and inspect the exported PDF.

7. Performance, reliability, and cost

Performance

Validate data before calling the document service so bad records fail quickly.
Reuse a published template instead of rebuilding its structure for every record.
Keep images reasonably sized and avoid unnecessary high-resolution assets.
Generate in batches when the provider supports it, while respecting rate limits.

Reliability

Use an explicit job status such as queued, generated, validated, or failed.
Retry transient network failures with backoff, but do not blindly retry a request that may already have created a document.
Store the template version, input payload hash, output ID, and validation result.
Keep API keys and OAuth tokens in server-side secrets. Inkit warns that exposed API keys can be used to make requests on the account holder’s behalf.

Cost

Cost depends on the document provider, integrations, storage, and rendering volume. The research sources do not establish universal prices. Measure the number of generated documents, retries, and exports your workflow performs before selecting a plan.

8. Or skip the browser setup

If your document is already rendered in a web application and you need a clean preview image or PDF, ScreenshotNeo captures it through one GET request. Its consent step accepts cookie banners and removes more than 60 known consent platforms, newsletter popups, and chat widgets before capture. Bot checks, blank pages, timeouts, failed loads, and cache hits are not billed, and the response identifies the result with X-Page-Verdict and X-Billed headers.

See the ScreenshotNeo documentation for all options. This call captures a generated document preview at the target URL:

curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://example.com/generated-document -o document-preview.webp

import requests

r = requests.get(
    "https://api.screenshotneo.com/v1/shot",
    params={"access_key": "YOUR_API_KEY", "url": "https://example.com/generated-document"},
    timeout=90,
)
r.raise_for_status()
open("document-preview.webp", "wb").write(r.content)

const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://example.com/generated-document' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);
if (!res.ok) throw new Error(await res.text());
const fs = await import('node:fs/promises');
await fs.writeFile('document-preview.webp', Buffer.from(await res.arrayBuffer()));

ScreenshotNeo also supports full-page capture, CSS selectors for one element, custom CSS and JavaScript, waits for selectors or network idle, dark mode, device presets, PDF output, signed links, async jobs, bulk capture, and an MCP server with take_screenshot, get_page_info, and capture_pdf for AI agents. You get 1,000 screenshots a month free with no card; paid plans start at $5 for 3,000. Create a free ScreenshotNeo account.

9. FAQ

Do I need a template to generate a document?

No. A blank document is enough for a one-off file. Repeated, data-filled output usually benefits from a template.

Should I generate DOCX or PDF first?

Keep an editable source format when people must revise the file. Produce PDF when the layout must be fixed for delivery or archival.

How do I handle optional fields?

Define the behavior before generation: omit the section, show a fallback value, or reject the record. Apply the same rule in preview and production.

How can I prove which data produced a document?

Store the template version, input record identifier, generation timestamp, output identifier, and validation result with the job.