Things to check before integrating
Before you integrate
Select and flatten the required record fields before sending nested JSON.
Before you integrate
Source page styling is not captured, and raster text is not a substitute for editable data.
Before you integrate
The public image endpoint has no theme option: unregistered theme fields are discarded, and the API uses its fixed table styling.
Code examples
These examples send the sample as multipart/form-data and save the returned bytes unchanged. Set TABLECONVERT_API_KEY in your environment.
JSON to JPEG API · cURL
curl --fail-with-body --max-time 40 \
'https://api.tableconvert.com/v2/convert/json-to-jpeg' \
--header "Authorization: Bearer $TABLECONVERT_API_KEY" \
--form-string 'data=[
{
"item": "Notebook",
"quantity": "12",
"status": "Available"
},
{
"item": "Marker",
"quantity": "8",
"status": "Reserved"
}
]' \
--output 'json-to-jpeg.jpg'Requires cURL. Download the sample input first when this example uploads a file.
JSON to JPEG API · Python
import os
from pathlib import Path
import requests
endpoint = "https://api.tableconvert.com/v2/convert/json-to-jpeg"
headers = {"Authorization": "Bearer " + os.environ["TABLECONVERT_API_KEY"]}
fields = {
"data": (None, "[\n {\n \"item\": \"Notebook\",\n \"quantity\": \"12\",\n \"status\": \"Available\"\n },\n {\n \"item\": \"Marker\",\n \"quantity\": \"8\",\n \"status\": \"Reserved\"\n }\n]"),
}
response = requests.post(endpoint, headers=headers, files=fields, timeout=40)
response.raise_for_status()
Path("json-to-jpeg.jpg").write_bytes(response.content)Requires Python 3 and requests. Install it with pip install requests.
JSON to JPEG API · Node.js
import { writeFile } from "node:fs/promises";
const form = new FormData();
form.set("data", "[\n {\n \"item\": \"Notebook\",\n \"quantity\": \"12\",\n \"status\": \"Available\"\n },\n {\n \"item\": \"Marker\",\n \"quantity\": \"8\",\n \"status\": \"Reserved\"\n }\n]");
const response = await fetch("https://api.tableconvert.com/v2/convert/json-to-jpeg", {
method: "POST",
headers: { Authorization: "Bearer " + process.env.TABLECONVERT_API_KEY },
body: form,
signal: AbortSignal.timeout(40_000),
});
if (!response.ok) {
throw new Error("HTTP " + response.status + ": " + await response.text());
}
await writeFile("json-to-jpeg.jpg", Buffer.from(await response.arrayBuffer()));Requires Node.js 20 or later with built-in fetch, FormData and Blob.
Authentication
Send Authorization: Bearer YOUR_API_KEY. Let the HTTP client set the multipart boundary; do not set Content-Type manually.
Keep production API keys in server-side environment variables.
Request parameters
A nonempty array of flat objects is the clearest record input. Object keys form a union of columns; nested structures are not automatically flattened.
| Parameter | Type | Default | Description |
|---|---|---|---|
data | string | — | Inline JSON table content. Choose one of data, file or url. |
file | binary | — | Upload a json file using multipart/form-data. |
url | string | — | A supported publicly accessible HTTP or HTTPS file URL. |
Send one source: data, file, or url. The examples below use the source mode appropriate for this format.
Output options
Render the normalized data table as a JPEG image. This produces a new table image rather than a screenshot of the source document or webpage.
This output format does not expose additional options.
Conversion rules
| Case | Behavior |
|---|---|
| Mapping rule 1 | The union of object keys forms the header, and each flat object supplies one row of text cells. |
| Mapping rule 2 | Extracted cell values are laid out into a new raster table image. |
| Mapping rule 3 | Flatten nested JSON before rendering and choose the required columns; the output shows the flat grid rather than the full object tree. |
How the input is read
- For object arrays, columns follow keys in first-seen order; missing keys yield empty cells.
- null becomes the literal text null, while numbers and booleans become text during table normalization.
- A nested object becomes [object Object]; an array inside a field becomes comma-joined text rather than additional rows.
- Prepare explicit flat fields before conversion; the endpoint has no generic flatten parameter.
How the output is written
- Save the binary response as a JPEG file; do not parse it as text.
- Image output is a presentation artifact and no longer exposes editable cells.
- Check long values, column count and character rendering in the downloaded image.
- The public image endpoint has no theme option: unregistered theme fields are discarded, and the API uses its fixed table styling.
When to use this API
This conversion in practice
Use an application JSON response as the starting dataset for a visual table shared in a report. Select and flatten the required record fields before sending nested JSON.
JPEG table image
Share a fixed visual table in a report, slide or message.
Responses and errors
| HTTP status | Description |
|---|---|
200 | image/jpeg |
400 | Invalid input or conversion parameters. |
402 | Insufficient credits for this request. |
403 | Missing or invalid API key. |
413 | The input exceeds the configured request limit. |
415 | Unsupported input media type. |
429 | Rate limit exceeded. |
500 | The conversion could not be completed. |
503 | The renderer is unavailable or the request timed out. |
Check the response before retrying. A new HTTP request is a new conversion and may use credits again.
Limits, billing and versions
Local previews accept up to 200 KB. The current API implementation allows one uploaded file up to 50 MiB, limits each multipart text field to 1 MiB, and gives v2 conversion tasks a 30-second deadline. Deployment limits may be stricter. Read the returned error before retrying; some parser or renderer failures return HTTP 500.
Live calls follow the API credit policy. Failed conversions are refunded; a completed conversion is not undone if the download connection later fails.
View API pricing and creditsUsing API v1?
This page documents v2, which returns the output directly. API v1 wraps the result in a JSON envelope. Check the overview before changing an existing integration.
API overviewReferences and format specifications
Format references explain the underlying syntax. The conversion rules and samples above describe TableConvert’s implementation.