> ## Documentation Index > Fetch the complete documentation index at: https://docs.pdf.co/llms.txt > Use this file to discover all available pages before exploring further. # Find Text in Table with AI > AI powered document analysis can scan your document for tables and return the array of tables on pages with coordinates and information about columns detected in these tables. ## `POST /v1/pdf/find/table` This function finds tables in documents using an AI-powered table detection engine. This endpoint locates `tables` in an input PDF document and returns JSON with: * The array of tables objects. * `X`, `Y`, `Width`, and `Height` coordinates for every table found. * `Rect` param for every table that you can re-use with `pdf/convert/to/json`, `pdf/convert/to/csv`, `pdf/convert/to/csv`, and other endpoints to extract a selected table only. * `PageIndex` page index for a page with a table. The very first page is `0` . * `Columns` array with the set of `X` coordinates for every column inside the table that was found. To extract the table into CSV, JSON, or XML please use pdf/convert/to/csv, pdf/convert/to/json2, and pdf/convert/to/xml endpoints with rect parameter value from rect output param for this table accordingly. To extract the table into CSV, JSON, or XML please use [pdf/convert/to/csv](/api-reference/pdf-to-csv), [pdf/convert/to/json2](/api-reference/pdf-to-json/with-ai), and [pdf/convert/to/xml](/api-reference/pdf-to-xml) endpoints with `rect` parameter value from `rect` output param for this table accordingly. ## Attributes Attributes are case-sensitive and should be inside JSON for POST request. for example: `{ "url": "https://example.com/file1.pdf" }` | Attribute | Type | Required | Default | Description | | ----------------------------- | ------- | -------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `url` | string | *Yes* | - | URL to the source file [`url` attribute](/api-reference/url-input-and-request-limits#supported-file-sources) | | `callback` | string | *No* | - | The callback URL (or Webhook) used to receive the POST data. see [Webhooks & Callbacks](/api-reference/webhooks). This is only applicable when `async` is set to `true`. | | `httpusername` | string | *No* | - | HTTP auth user name if required to access source URL. | | `httppassword` | string | *No* | - | HTTP auth password if required to access source URL. | | `pages` | string | *No* | all pages | Specify page indices as comma-separated values or ranges to process (e.g. "0, 1, 2-" or "1, 2, 3-7"). The first-page index is 0. Use "!" before a number for inverted page numbers (e.g. "!0" for the last page). If not specified, the default configuration processes all pages. The input must be in string format. | | `inline` | boolean | *No* | `false` | Set to true to return results inside the response. Otherwise, the endpoint will return a URL to the output file generated. | | `password` | string | *No* | - | Password for the PDF file. | | `async` | boolean | *No* | `false` | Set `async` to `true` for long processes to run in the background, API will then return a `jobId` which you can use with the [Background Job Check endpoint](/api-reference/job-check). Also see [Webhooks & Callbacks](/api-reference/webhooks) | | `profiles` | object | *No* | - | See [Profiles](/api-reference/profiles) for more information. | |     `DataEncryptionAlgorithm` | string | *No* | - | Controls the encryption algorithm used for data encryption. See [User-Controlled Encryption](/knowledgebase/user-controlled-encryption) for more information. The available algorithms are: `AES128`, `AES192`, `AES256`. | |     `DataEncryptionKey` | string | *No* | - | Controls the encryption key used for data encryption. See [User-Controlled Encryption](/knowledgebase/user-controlled-encryption) for more information. | |     `DataEncryptionIV` | string | *No* | - | Controls the encryption IV used for data encryption. See [User-Controlled Encryption](/knowledgebase/user-controlled-encryption) for more information. | |     `DataDecryptionAlgorithm` | string | *No* | - | Controls the decryption algorithm used for data decryption. See [User-Controlled Encryption](/knowledgebase/user-controlled-encryption) for more information. The available algorithms are: `AES128`, `AES192`, `AES256`. | |     `DataDecryptionKey` | string | *No* | - | Controls the decryption key used for data decryption. See [User-Controlled Encryption](/knowledgebase/user-controlled-encryption) for more information. | |     `DataDecryptionIV` | string | *No* | - | Controls the decryption IV used for data decryption. See [User-Controlled Encryption](/knowledgebase/user-controlled-encryption) for more information. | ### Find only bordered tables You can limit search to bordered tables only by enabling the *legacy table* search mode with the following `profiles` config: ```json theme={null} { "profiles": "{ 'Mode': 'Legacy', 'ColumnDetectionMode': 'BorderedTables', 'DetectionMinNumberOfRows': 1, 'DetectionMinNumberOfColumns': 1, 'DetectionMaxNumberOfInvalidSubsequentRowsAllowed': 0, 'DetectionMinNumberOfLineBreaksBetweenTables': 0, 'EnhanceTableBorders': false }" } ``` ## Query parameters *No query parameters accepted.* ## Responses | Parameter | Type | Description | | ------------------ | ------- | ---------------------------------------------------------------------------------------------------------------------------- | | `body` | object | Response body. | | `pageCount` | integer | Number of pages in the PDF document. | | `error` | boolean | Indicates whether an error occurred (`false` means success) | | `status` | string | Status code of the request (200, 404, 500, etc.). For more information, see [Response Codes](/api-reference/response-codes). | | `name` | string | Name of the output file | | `credits` | integer | Number of credits consumed by the request | | `remainingCredits` | integer | Number of credits remaining in the account | | `duration` | integer | Time taken for the operation in milliseconds | ## `Example` Payload To see the request size limits, please refer to the [Request Size Limits](/api-reference/url-input-and-request-limits#pdf-co-request-size). ```json theme={null} { "url": "pdfco-test-files.s3.us-west-2.amazonaws.compdf-to-text/sample.pdf", "async": "false", "inline": "true", "password": "" } ``` ## `Example` Response To see the main response codes, please refer to the [Response Codes](/api-reference/response-codes) page. ```json theme={null} { "body": { "tables": [ { "PageIndex": 0, "X": 36, "Y": 34.4400024, "Width": 523.44, "Height": 160.82, "Columns": [ 357.675 ], "rect": "36, 34.4400024, 523.44, 160.82" }, { "PageIndex": 0, "X": 36, "Y": 316.249969, "Width": 523.44, "Height": 120.620026, "Columns": [ 157.117, 340.68, 475.84 ], "rect": "36, 316.249969, 523.44, 120.620026" } ] }, "pageCount": 1, "error": false, "status": 200, "name": "sample.json", "remainingCredits": 98892697, "credits": 21 } ``` **Inconsistent URL Encoding in cURL Output:** When using cURL to make API requests, the output JSON may show URL characters encoded as Unicode escape sequences. For example, the ampersand character (`&`) may appear as `\u0026` in the cURL output. This is normal JSON encoding behavior and does not affect the validity of the URL. The URL will function correctly when used, as JSON parsers automatically decode these escape sequences. If you're parsing the response programmatically, your JSON parser will handle this conversion automatically. ## Code Samples ```bash theme={null} curl --location --request POST 'https://api.pdf.co/v1/pdf/find/table' \ --header 'x-api-key: *******************' \ --header 'Content-Type: application/json' \ --data-raw '{ "url": "pdfco-test-files.s3.us-west-2.amazonaws.compdf-to-text/sample.pdf", "async": "false", "inline": "true", "password": "" }' ``` ```javascript theme={null} var https = require("https"); var path = require("path"); var fs = require("fs"); // `request` module is required for file upload. // Use "npm install request" command to install. var request = require("request"); // The authentication key (API Key). // Get your own by registering at https://app.pdf.co const API_KEY = "***********************************"; // Direct URL of source PDF file. // You can also upload your own file into PDF.co and use it as url. Check "Upload File" samples for code snippets: https://github.com/bytescout/pdf-co-api-samples/tree/master/File%20Upload/ const SourceFileUrl = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-to-text/sample.pdf"; // Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'. const Pages = ""; // PDF document password. Leave empty for unprotected documents. const Password = ""; // Prepare URL for PDF Table Search API call. // See documentation: https://apidocs.pdf.co var query = `https://api.pdf.co/v1/pdf/find/table`; let reqOptions = { uri: query, headers: { "x-api-key": API_KEY }, formData: { password: Password, pages: Pages, url: SourceFileUrl } }; // Send request request.post(reqOptions, function (error, resp, body) { if (error) { return console.error("Error: ", error); } var jsonBody = JSON.parse(body); // Loop through all found tables, and get json data if (jsonBody.body.tables && jsonBody.body.tables.length > 0) { for (var i = 0; i < jsonBody.body.tables.length; i++) { getJSONFromCoordinates(SourceFileUrl, jsonBody.body.tables[i].PageIndex, jsonBody.body.tables[i].rect, `table_${i + 1}.json`); } } }); /** * Get JSON from specific co-ordinates */ function getJSONFromCoordinates(fileUrl, pageIndex, rect, outputFileName) { // Prepare request to `PDF To JSON` API endpoint var jsonQueryPath = `https://api.pdf.co/v1/pdf/convert/to/json`; // Json Request let jsonReqOptions = { uri: jsonQueryPath, headers: { "x-api-key": API_KEY }, formData: { pages: pageIndex, url: fileUrl, rect: rect } }; // Send request request.post(jsonReqOptions, function (error, resp, body) { if (error) { return console.error("Error: ", error); } var outputJsonUrl = JSON.parse(body).url; // Download JSON file var file = fs.createWriteStream(outputFileName); https.get(outputJsonUrl, (response2) => { response2.pipe(file) .on("close", () => { console.log(`Generated JSON file saved as "${outputFileName}" file.`); }); }); }); } ``` ```python theme={null} import requests import os # The authentication key (API Key). # Get your own by registering at https://app.pdf.co API_KEY = "***************************************" # Direct URL of source PDF file. SourceFileUrl = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-to-text/sample.pdf" # Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'. Pages = "" # PDF document password. Leave empty for unprotected documents. Password = "" # Prepare URL for PDF Table Search API call. query = "https://api.pdf.co/v1/pdf/find/table" reqOptions = { 'password': Password, 'pages': Pages, 'url': SourceFileUrl } headers = { 'x-api-key': API_KEY } def getJSONFromCoordinates(fileUrl, pageIndex, rect, outputFileName): # Prepare request to `PDF To JSON` API endpoint jsonQueryPath = "https://api.pdf.co/v1/pdf/convert/to/json" # Json Request jsonReqOptions = { 'pages': pageIndex, 'url': fileUrl, 'rect': rect } # Send request response = requests.post(jsonQueryPath, headers=headers, data=jsonReqOptions) if response.status_code == 200: outputJsonUrl = response.json()['url'] # Download JSON file res = requests.get(outputJsonUrl) with open(outputFileName, 'wb') as outfile: outfile.write(res.content) print(f'Generated JSON file saved as "{outputFileName}" file.') else: print(f"Request error: {response.status_code} {response.reason}") # Send request response = requests.post(query, headers=headers, data=reqOptions) if response.status_code == 200: jsonBody = response.json() # Loop through all found tables, and get json data if 'tables' in jsonBody['body'] and len(jsonBody['body']['tables']) > 0: for i, table in enumerate(jsonBody['body']['tables']): getJSONFromCoordinates(SourceFileUrl, table['PageIndex'], table['rect'], f"table_{i + 1}.json") else: print(f"Request error: {response.status_code} {response.reason}") ``` ```csharp theme={null} using Newtonsoft.Json; using Newtonsoft.Json.Linq; using System; using System.Collections.Generic; using System.Net; namespace PDFcoApiExample { class Program { // The authentication key (API Key). // Get your own by registering at https://app.pdf.co const String API_KEY = "*****************************************"; // Direct URL of source PDF file. // You can also upload your own file into PDF.co and use it as url. Check "Upload File" samples for code snippets: https://github.com/bytescout/pdf-co-api-samples/tree/master/File%20Upload/ const string SourceFileUrl = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-to-text/sample.pdf"; // Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'. const string Pages = ""; // PDF document password. Leave empty for unprotected documents. const string Password = ""; static void Main(string[] args) { // Create standard .NET web client instance WebClient webClient = new WebClient(); // Set API Key webClient.Headers.Add("x-api-key", API_KEY); // URL for PDF Table Search API call. // See documentation: https://apidocs.pdf.co string url = "https://api.pdf.co/v1/pdf/find/table"; // Prepare requests params as JSON Dictionary parameters = new Dictionary(); parameters.Add("password", Password); parameters.Add("pages", Pages); parameters.Add("url", SourceFileUrl); // Convert dictionary of params to JSON string jsonPayload = JsonConvert.SerializeObject(parameters); try { // Execute POST request with JSON payload string response = webClient.UploadString(url, jsonPayload); // Parse JSON response JObject json = JObject.Parse(response); if (json["status"].ToString() != "error") { Console.WriteLine(response); } else { Console.WriteLine(json["message"].ToString()); } } catch (WebException e) { Console.WriteLine(e.ToString()); } webClient.Dispose(); Console.WriteLine(); Console.WriteLine("Press any key..."); Console.ReadKey(); } } } ``` ```java theme={null} package com.company; import com.google.gson.JsonElement; import com.google.gson.JsonObject; import com.google.gson.JsonParser; import okhttp3.*; import java.io.*; import java.net.*; public class Main { // The authentication key (API Key). // Get your own by registering at https://app.pdf.co final static String API_KEY = "***********************************"; // Direct URL of source PDF file. // You can also upload your own file into PDF.co and use it as url. Check "Upload File" samples for code snippets: https://github.com/bytescout/pdf-co-api-samples/tree/master/File%20Upload/ final static String SourceFileURL = "https://bytescout-com.s3.amazonaws.com/files/demo-files/cloud-api/pdf-to-text/sample.pdf"; // Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'. final static String Pages = ""; // PDF document password. Leave empty for unprotected documents. final static String Password = ""; public static void main(String[] args) throws IOException { // Create HTTP client instance OkHttpClient webClient = new OkHttpClient(); // Prepare URL for PDF Table Search API call. // See documentation: https://apidocs.pdf.co String query = "https://api.pdf.co/v1/pdf/find/table"; // Make correctly escaped (encoded) URL URL url = null; try { url = new URI(null, query, null).toURL(); } catch (URISyntaxException e) { e.printStackTrace(); } // Create JSON payload String jsonPayload = String.format("{\"password\": \"%s\", \"pages\": \"%s\", \"url\": \"%s\"}", Password, Pages, SourceFileURL); // Prepare request body RequestBody body = RequestBody.create(MediaType.parse("application/json"), jsonPayload); // Prepare request Request request = new Request.Builder() .url(url) .addHeader("x-api-key", API_KEY) // (!) Set API Key .addHeader("Content-Type", "application/json") .post(body) .build(); // Execute request Response response = webClient.newCall(request).execute(); if (response.code() == 200) { // Parse JSON response JsonObject json = new JsonParser().parse(response.body().string()).getAsJsonObject(); boolean error = json.get("error").getAsBoolean(); if (!error) { System.out.println(response.body().string()); } else { // Display service reported error System.out.println(json.get("message").getAsString()); } } else { // Display request error System.out.println(response.code() + " " + response.message()); } } } ```