PDF Parsing and Obtaining Result

Extract structured content from PDF documents with financial document optimization.

Endpoints

POST v1/parser/pdf

POST v1/parser/result

Description

These two APIs provide advanced PDF parsing capabilities specifically optimized for financial documents by two simple steps. Step 1 - extract a PDF file by just providing a public PDF URL to call API v1/parser/pdf; Step 2 - retrieve the parsing result by providing the PDF's unique ID which you have got from Step 1.

Our PDF parsing solution enables precise text extraction with layout fidelity, including table detection, financial statement recognition, and document structure preservation.

Parameters

parser/pdf

Parameter	Type	Required	Description
pdf_url	string	Yes	Public PDF file's url

parser/result

Parameter	Type	Required	Description
info_id	string	Yes	Unique ID got from Step 1

Examples

Request of Step 1

curl -X 'POST' \
  'https://api.orbitfin.ai/v1/parser/pdf' \
  -H 'accept: application/json' \
  -H 'X-API-KEY: Bearer YOUR_API-KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "pdf_url": "https://static.cninfo.com.cn/finalpage/2025-09-02/1224634496.PDF"
}'

Response of Step 1

{
  "status_code": 200,
  "data": "1c670924-ca3a-3364-8777-78a04be3c36b",
  "message": "success"
}

Request of Step 2

curl -X 'POST' \
  'https://api.orbitfin.ai/v1/parser/result' \
  -H 'accept: application/json' \
  -H 'X-API-KEY: Bearer YOUR_API-KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "info_id": "1c670924-ca3a-3364-8777-78a04be3c36b"
}'

Response of Step 2

{
  "status_code": 200,
  "data": "https://orbit-tmp.s3.amazonaws.com/api/1c670924-ca3a-3364-8777-78a04be3c36b.zip?AWSAccessKeyId=AKIAZ2SDT5DUYIU3G434&Signature=sxwVdUiIOqfQC5ulSCtltdw1d2U%3D&Expires=1761139467",
  "message": "Success"
}

Error Code

Code	Description
400	Download of parameter attachment address failed
400	Insufficient user balance
400	Attachment size exceeds 500MB
400	PDF attachment exceeds 700 pages
401	Unauthorized access. Invalid API key
500	An error occurred while processing your request
503	PDF file is corrupted and failed to parse
504	PDF parsing timeout

Notes:

• All clickable links are valid for 7 days

• The failure to process an individual report will not impact the processing of other reports

• The parsing process typically takes 1-10 minutes to generate the ZIP download link, determined by file size and the number of jobs in queue.

• The download link can only be successfully retrieved once using the unique ID generated in Step 1 ID, and will expire after 7 days

Example of ZIP file:

We provide the original PDF file, API metadata and two different formats of the parsing results - page level & block level within the ZIP file. If the original PDF contains images, we can also extract the images and store them in the images folder.

Structure:

api_metadata describes API version, file parsing start time and end time.

{
"version": "1.0.0",
"start_time": "2025-10-15T13:55:29.605198+00:00",
"end_time": "2025-10-15T13:56:10.297724+00:00"
}

Page Level Document Sample

{"id": "p_uepCvuXe", "page": 1, "sentence": "<text blocks>"}
{"id": "p_apMbM49F", "page": 2, "sentence": "<text blocks>"}
{"id": "p_7MHhOdNN", "page": 3, "sentence": "<text blocks>"}
{"id": "p_cSSQYrRe", "page": 4, "sentence": "<text blocks>"}

Page Level Document Data Dictionary

Field Name	Type	Description
id	String	unique id of the text block in database
page	String	page number in sequence
sentence	String	text blocks

Block Level Document Sample

{"id": "l_XgLeH4iS", "page": 1, "seq_no": 1, "sentence": "<text blocks>", "type": "sentence", "text_location": {"location": [[32.5296, 811.296, 164.8296, 801.432]]}}
{"id": "l_D2o3ptsX", "page": 1, "seq_no": 2, "sentence": "<text blocks>", "type": "sentence", "text_location": {"location": [[31.067999999999998, 784.9872, 101.60640000000001, 775.4832]]}}
{"id": "l_XcKKlIqv", "page": 1, "seq_no": 3, "sentence": "<text blocks>", "type": "sentence", "text_location": {"location": [[158.9832, 750.996, 434.556, 705.6863999999999]]}}
{"id": "l_20yatCw6", "page": 1, "seq_no": 4, "sentence": "<text blocks>", "type": "sentence", "text_location": {"location": [[261.2448, 688.8744, 332.65439999999995, 675.72]]}}

Block Level Document Data Dictionary

Field Name	Type	Description
id	String	unique id of the text block in database
page	String	page number in sequence
seq_no	String	block sequence in a page
sentence	String	text blocks
type	String	text, table, image
text_location	String	coordinate of the block in the page