PDF To JSON
Convert PDF and scanned images into JSON representation with text, fonts, images, vectors, formatting preserved.
Available Methods
[POST] /pdf/convert/to/json2
Auto classification Of Incoming Documents
Use /pdf/classifier (Document Classifier) endpoint to automatically sort / detect the class of the document based on keywords-based rules. For example, you can define rules to find which vendor provided the document to find which template to apply accordingly.
| Attributes |
|---|
| url required URL to the source file. Supports links from Google Drive, Dropbox and from built-in PDF.co files storage. For uploading files via API please check Files Upload section. If you are randomly getting a Too Many Requests or Access Denied error for your input URL, Please try to add cache: to enable built-in URL caching. You can also encrypt data for output files and decrypt data input files with user-controlled data encryption to learn more. |
| httpusername optional HTTP auth user name if required to access source url. |
| httppassword optional HTTP auth password if required to access source url. |
| pages optional Comma-separated list of page indices (or ranges) to process. IMPORTANT: the very first page starts at 0 (zero). To set a range use the dash -, for example: 0,2-5,7-. To set a range from the index to the last page use range like this: 2- (from page #3 as the index starts at zero and till the of the document). For ALL pages just leave this param empty.Example: 0,2-5,7- means first page, then 3rd page to 6th page, and then the range from 8th (index = 7) page till the end of the document, The input must be in string format. |
| unwrap optional Unwrap lines into a single line within table cells when lineGrouping is enabled. Must be one of: true, or false. |
| rect optional Defines coordinates for extraction, e.g. 51.8, 114.8, 235.5, 204.0. You can use PDF.co PDF Viewer with coordinates to easily select and copy coordinates, The input must be in string format. |
| lang optional Set the language for OCR (text from image) to use for scanned PDF, PNG, and JPG documents input when extracting text. The default is “eng”. Other languages are also supported: deu, spa, chi_sim, jpn, and many others (full list of supported OCR languages is here.You can also use 2 languages simultaneously like this: eng+deu or jpn+kor (any combination). |
| inline optional Must be one of: true to return data as inline or false to return a link to the output file (default). |
| lineGrouping optional Line grouping within table cells. Set to 1 to enable the grouping, The input must be in string format. |
| async optional Runs processing asynchronously and returns JobId that you may use with /job/check to check the state of the background job (possible states: working, failed, aborted and success). Must be one of: true, or false. |
| name optional File name for the generated output, The input must be in string format. |
| expiration optional Output link expiration in minutes. The default is 60 (i.e. 60 minutes or 1 hour). After this delay generated output file(s) (if any) will be auto-removed from PDF.co temporary files storage.Max allowed expiration period depends on your current subscription plan. To store permanent input files (e.g. re-usable images, pdf, documents), please use PDF.co built-in Files Storage instead. |
| profiles optional Use this parameter to set additional configurations for fine-tuning and extra options, The input must be in string format. Explore PDF.co knowledgebase for profile examples. For example, to change CSV separator: { 'CSVSeparatorSymbol': ';' } |
- Method: POST
- URL: /v1/pdf/convert/to/json2
Query parameters
No query parameters accepted.
Body payload
{
"url": "https://pdfco-test-files.s3.us-west-2.amazonaws.com/pdf-to-json/sample.pdf",
"inline": true,
"async": false
}
Example responses
/pdf/convert/to/json2
{
"body": {
"document": {
"pageCount": "1",
"pageCountWithOCRPerformed": "0",
"page": {
"index": "0",
"width": "595.320007324219",
"height": "841.919982910156",
"OCRWasPerformed": "False",
"row": [
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "24.0",
"fontStyle": "Bold",
"color": "#538DD3",
"x": "36.00",
"y": "34.44",
"width": "242.81",
"height": "24.00",
"text": "Your Company Name"
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "76.94",
"width": "66.62",
"height": "11.04",
"text": "Your Address"
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "91.46",
"width": "69.14",
"height": "11.04",
"text": "City, State Zip"
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": ""
},
{
"text": ""
},
{
"text": ""
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "461.02",
"y": "115.94",
"width": "98.42",
"height": "11.04",
"text": "Invoice No. 123456"
}
}
]
},
{
"column": [
{
"text": ""
},
{
"text": ""
},
{
"text": ""
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "436.54",
"y": "130.46",
"width": "122.90",
"height": "11.04",
"text": "Invoice Date 01/01/2016"
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "36.00",
"y": "154.94",
"width": "63.62",
"height": "11.04",
"text": "Client Name"
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "169.70",
"width": "40.34",
"height": "11.04",
"text": "Address"
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "184.22",
"width": "69.14",
"height": "11.04",
"text": "City, State Zip"
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "233.30",
"width": "28.70",
"height": "11.04",
"text": "Notes"
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "36.00",
"y": "316.25",
"width": "22.58",
"height": "11.04",
"text": "Item"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "247.61",
"y": "316.25",
"width": "44.64",
"height": "11.04",
"text": "Quantity"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "398.95",
"y": "316.25",
"width": "26.91",
"height": "11.04",
"text": "Price"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "533.14",
"y": "316.25",
"width": "26.30",
"height": "11.04",
"text": "Total"
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "341.33",
"width": "30.62",
"height": "11.04",
"text": "Item 1"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "341.33",
"width": "6.12",
"height": "11.04",
"text": "1"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "341.33",
"width": "27.51",
"height": "11.04",
"text": "40.00"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "341.33",
"width": "27.50",
"height": "11.04",
"text": "40.00"
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "362.45",
"width": "30.62",
"height": "11.04",
"text": "Item 2"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "362.45",
"width": "6.12",
"height": "11.04",
"text": "2"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "362.45",
"width": "27.51",
"height": "11.04",
"text": "30.00"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "362.45",
"width": "27.50",
"height": "11.04",
"text": "60.00"
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "383.57",
"width": "30.62",
"height": "11.04",
"text": "Item 3"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "383.57",
"width": "6.12",
"height": "11.04",
"text": "3"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "383.57",
"width": "27.51",
"height": "11.04",
"text": "20.00"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "383.57",
"width": "27.50",
"height": "11.04",
"text": "60.00"
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "404.93",
"width": "30.62",
"height": "11.04",
"text": "Item 4"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "404.93",
"width": "6.12",
"height": "11.04",
"text": "4"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "404.93",
"width": "27.51",
"height": "11.04",
"text": "10.00"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "404.93",
"width": "27.50",
"height": "11.04",
"text": "40.00"
}
}
]
},
{
"column": [
{
"text": ""
},
{
"text": ""
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "389.11",
"y": "425.83",
"width": "36.75",
"height": "11.04",
"text": "TOTAL"
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "525.82",
"y": "425.83",
"width": "33.62",
"height": "11.04",
"text": "200.00"
}
}
]
}
]
}
}
},
"pageCount": 1,
"error": false,
"status": 200,
"name": "sample.json",
"remainingCredits": 99227903,
"credits": 28
}
Code Snippet
CURL
curl --location --request POST 'https://api.pdf.co/v1/pdf/convert/to/json2' \
--header 'Content-Type: application/json' \
--header 'x-api-key: ' \
--data-raw '{
"url": "https://pdfco-test-files.s3.us-west-2.amazonaws.com/pdf-to-json/sample.pdf",
"inline": true,
"async": false
}'
[POST] /pdf/convert/to/json-meta (AI powered)
Auto-classification Of Incoming Documents
Use /pdf/classifier (Document Classifier) endpoint to automatically sort / detect the class of the document based on keywords-based rules. For example, you can define rules to find which vendor provided the document to find which template to apply accordingly.
What is the difference between /pdf/convert/to/json-meta vs /pdf/convert/to/json2 ?
/json-meta uses AI to detect meta styles for text objects, such as:
- paragraph style (from
h1..h7topandsmall) - meta
typeof the text object (text,datetime,integer,decimal,currencyetc) - meta
subTypeof the text object (companyName,personNameand other AI-based meta types). - also
/json-metaconsumes more credits because it runs with AI - finally,
/json-metaalso works a bit slower due to AI process. Async mode is recommended for this endpoint.
| Attributes |
|---|
| url required URL to the source file. Supports links from Google Drive, Dropbox and from built-in PDF.co files storage. For uploading files via API please check Files Upload section. If you are randomly getting a Too Many Requests or Access Denied error for your input URL, Please try to add cache: to enable built-in URL caching. You can also encrypt data for output files and decrypt data input files with user-controlled data encryption to learn more. |
| httpusername optional HTTP auth user name if required to access source url. |
| httppassword optional HTTP auth password if required to access source url. |
| pages optional Comma-separated list of page indices (or ranges) to process. IMPORTANT: the very first page starts at 0 (zero). To set a range use the dash -, for example: 0,2-5,7-. To set a range from the index to the last page use range like this: 2- (from page #3 as the index starts at zero and till the of the document). For ALL pages just leave this param empty.Example: 0,2-5,7- means first page, then 3rd page to 6th page, and then the range from 8th (index = 7) page till the end of the document, The input must be in string format. |
| unwrap optional Unwrap lines into a single line within table cells when line grouping is enabled. Must be one of: true, or false. |
| rect optional Defines coordinates for extraction, e.g. 51.8, 114.8, 235.5, 204.0. You can use PDF.co PDF Viewer with coordinates to easily select and copy coordinates, The input must be in string format. |
| lang optional Set the language for OCR (text from image) to use for scanned PDF, PNG, and JPG documents input when extracting text. The default is “eng”. Other languages are also supported: deu, spa, chi_sim, jpn, and many others (full list of supported OCR languages is here.You can also use 2 languages simultaneously like this: eng+deu or jpn+kor (any combination). |
| inline optional Must be one of: true to return data as inline or false to return a link to the output file (default). |
| lineGrouping optional Line grouping within table cells. Set to 1 to enable the grouping, The input must be in string format. |
| async optional Runs processing asynchronously and returns JobId that you may use with /job/check to check the state of the processing (possible states: working, failed, aborted and success). Must be one of: true, or false. |
| name optional File name for the generated output, , The input must be in string format. |
| expiration optional Output link expiration in minutes. The default is 60 (i.e. 60 minutes or 1 hour). After this delay generated output file(s) (if any) will be auto-removed from PDF.co temporary files storage.Max allowed expiration period depends on your current subscription plan. To store permanent input files (e.g. re-usable images, pdf, documents), please use PDF.co built-in Files Storage instead. |
| profiles optional Use this parameter to set additional configurations for fine-tuning and extra options, The input must be in string format. Explore PDF.co knowledgebase for profile examples. For example, to change CSV separator: { 'CSVSeparatorSymbol': ';' } |
- Method: POST
- URL: /v1/pdf/convert/to/json-meta
Query parameters
No query parameters accepted.
Body payload
{
"url": "https://pdfco-test-files.s3.us-west-2.amazonaws.com/pdf-to-json/sample.pdf",
"inline": true,
"async": false
}
Example responses
/pdf/convert/to/json-meta (AI powered)
{
"body": {
"document": {
"pageCount": "1",
"pageCountWithOCRPerformed": "0",
"page": [
{
"index": "0",
"width": "595.320007324219",
"height": "841.919982910156",
"OCRWasPerformed": "False",
"row": [
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "24.0",
"fontStyle": "Bold",
"color": "#538DD3",
"x": "36.00",
"y": "34.44",
"width": "242.81",
"height": "24.00",
"text": "Your Company Name",
"meta": {
"text": {
"style": "h1",
"type": "text"
}
}
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "76.94",
"width": "66.62",
"height": "11.04",
"text": "Your Address",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "91.46",
"width": "69.14",
"height": "11.04",
"text": "City, State Zip",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": ""
},
{
"text": ""
},
{
"text": ""
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "461.02",
"y": "115.94",
"width": "98.42",
"height": "11.04",
"text": "Invoice No. 123456",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
}
]
},
{
"column": [
{
"text": ""
},
{
"text": ""
},
{
"text": ""
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "436.54",
"y": "130.46",
"width": "122.90",
"height": "11.04",
"text": "Invoice Date 01/01/2016",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "36.00",
"y": "154.94",
"width": "63.62",
"height": "11.04",
"text": "Client Name",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "169.70",
"width": "40.34",
"height": "11.04",
"text": "Address",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "184.22",
"width": "69.14",
"height": "11.04",
"text": "City, State Zip",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "233.30",
"width": "28.70",
"height": "11.04",
"text": "Notes",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": ""
},
{
"text": ""
},
{
"text": ""
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "36.00",
"y": "316.25",
"width": "22.58",
"height": "11.04",
"text": "Item",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "247.61",
"y": "316.25",
"width": "44.64",
"height": "11.04",
"text": "Quantity",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "398.95",
"y": "316.25",
"width": "26.91",
"height": "11.04",
"text": "Price",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "533.14",
"y": "316.25",
"width": "26.30",
"height": "11.04",
"text": "Total",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "341.33",
"width": "30.62",
"height": "11.04",
"text": "Item 1",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "341.33",
"width": "6.12",
"height": "11.04",
"text": "1",
"meta": {
"text": {
"style": "p",
"type": "integer"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "341.33",
"width": "27.51",
"height": "11.04",
"text": "40.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "341.33",
"width": "27.50",
"height": "11.04",
"text": "40.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "362.45",
"width": "30.62",
"height": "11.04",
"text": "Item 2",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "362.45",
"width": "6.12",
"height": "11.04",
"text": "2",
"meta": {
"text": {
"style": "p",
"type": "integer"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "362.45",
"width": "27.51",
"height": "11.04",
"text": "30.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "362.45",
"width": "27.50",
"height": "11.04",
"text": "60.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "383.57",
"width": "30.62",
"height": "11.04",
"text": "Item 3",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "383.57",
"width": "6.12",
"height": "11.04",
"text": "3",
"meta": {
"text": {
"style": "p",
"type": "integer"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "383.57",
"width": "27.51",
"height": "11.04",
"text": "20.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "383.57",
"width": "27.50",
"height": "11.04",
"text": "60.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
}
]
},
{
"column": [
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "36.00",
"y": "404.93",
"width": "30.62",
"height": "11.04",
"text": "Item 4",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "286.13",
"y": "404.93",
"width": "6.12",
"height": "11.04",
"text": "4",
"meta": {
"text": {
"style": "p",
"type": "integer"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "398.35",
"y": "404.93",
"width": "27.51",
"height": "11.04",
"text": "10.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"x": "531.94",
"y": "404.93",
"width": "27.50",
"height": "11.04",
"text": "40.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
}
]
},
{
"column": [
{
"text": ""
},
{
"text": ""
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "389.11",
"y": "425.83",
"width": "36.75",
"height": "11.04",
"text": "TOTAL",
"meta": {
"text": {
"style": "p",
"type": "text"
}
}
}
},
{
"text": {
"fontName": "Arial",
"fontSize": "11.0",
"fontStyle": "Bold",
"x": "525.82",
"y": "425.83",
"width": "33.62",
"height": "11.04",
"text": "200.00",
"meta": {
"text": {
"style": "p",
"type": "decimal"
}
}
}
}
]
}
]
}
]
}
},
"pageCount": 1,
"error": false,
"status": 200,
"name": "sample.json",
"remainingCredits": 98969333,
"credits": 42
}
Code Snippet
CURL
curl --location --request POST 'https://api.pdf.co/v1/pdf/convert/to/json-meta' \
--header 'Content-Type: application/json' \
--header 'x-api-key: ' \
--data-raw '{
"url": "https://pdfco-test-files.s3.us-west-2.amazonaws.com/pdf-to-json/sample.pdf",
"inline": true,
"async": false
}'
Samples
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- C# - Convert PDF To JSON From Uploaded File
- C# - Convert PDF To JSON From Uploaded File (AI Powered)
- C# - Convert PDF To JSON From Uploaded File Asynchronously
- C# - Convert PDF To JSON From Uploaded File Asynchronously (AI Powered)
- Java - Advanced Conversion Options
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- Java - Convert PDF To JSON From URL
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- Java - Convert PDF To JSON From Uploaded File
- Java - Convert PDF To JSON From Uploaded File (AI Powered)
- JavaScript - Advanced Conversion Options
- JavaScript - Advanced Conversion Options With Rotated Input
- JavaScript - Convert PDF To JSON From URL (Node.js)
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- JavaScript - Convert PDF To JSON From URL (Node.js) - Async API
- JavaScript - Convert PDF To JSON From URL (Node.js) - Async API (AI Powered)
- JavaScript - Convert PDF To JSON From Uploaded File (Node.js)
- JavaScript - Convert PDF To JSON From Uploaded File (Node.js) (AI Powered)
- JavaScript - Convert PDF To JSON From Uploaded File (Node.js) - Async API
- JavaScript - Convert PDF To JSON in JQuery
- JavaScript - Convert PDF To JSON in JQuery - Async API
- PHP - Convert PDF To JSON Asynchronously
- PHP - Convert PDF To JSON Asynchronously (AI Powered)
- PHP - Convert PDF To JSON From Uploaded File
- PHP - Convert PDF To JSON From Uploaded File (AI Powered)
- PowerShell - Advanced Conversion Options
- PowerShell - Advanced Conversion Options With Rotated Input
- PowerShell - Convert PDF To JSON From URL
- PowerShell - Convert PDF To JSON From URL (AI Powered)
- PowerShell - Convert PDF To JSON From URL Asynchronously
- PowerShell - Convert PDF To JSON From URL Asynchronously (AI Powered)
- PowerShell - Convert PDF To JSON From Uploaded File
- PowerShell - Convert PDF To JSON From Uploaded File (AI Powered)
- Python - Advanced Conversion Options
- Python - Advanced Conversion Options With Rotated Input
- Python - Convert PDF To JSON From Uploaded File
- Python - Convert PDF To JSON From Uploaded File (AI Powered)
- Python - Convert PDF To JSON From Uploaded File Asynchronously
- Python - Convert PDF To JSON From Uploaded File Asynchronously (AI Powered)
- VB.NET - Advanced Conversion Options
- VB.NET - Advanced Conversion Options With Rotated Input
- VB.NET - Convert PDF To JSON From URL
- VB.NET - Convert PDF To JSON From URL (AI Powered)
- VB.NET - Convert PDF To JSON From URL Asynchronously
- VB.NET - Convert PDF To JSON From URL Asynchronously (AI Powered)
- VB.NET - Convert PDF To JSON From Uploaded File
- VB.NET - Convert PDF To JSON From Uploaded File (AI Powered)
- cURL - Convert PDF To JSON
- cURL - Convert PDF To JSON (AI Powered)