Deep File Detective API

The Deep File Detective API allows you to extract hidden metadata from files, revealing important information such as location, device model and creation dates.

About the API: 

The Deep File Detective API is a powerful tool that allows you to uncover hidden information in files of different types, revealing embedded metadata that may go unnoticed. This service is ideal for those looking to obtain detailed data about a file, such as capture location, date and time of creation, device model used, and more. With the ability to analyze files online via URLs, File Exif Detective is useful for photographers, digital investigators, forensic analysts, and anyone who needs to obtain technical or contextual details about images, documents, and other files. By providing this crucial information, this API helps uncover key data that can have important implications in investigations, content creation, media auditing, and source validation. Users simply submit the URL of the file and the system returns a list of metadata with relevant details for a deeper understanding of the file being analyzed.

API Documentation

Endpoints


To use this endpoint, provide the URL of a file to extract and parse the hidden exif metadata.



                                                                            
GET https://zylalabs.com/api/5257/deep+file+detective+api/6772/file+exif+extractor
                                                                            
                                                                        

File Exif Extractor - Endpoint Features

Object Description
url [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"File": {"Url": "https://conasems-ava-prod.s3.sa-east-1.amazonaws.com/aulas/ava/dummy-1641923583.pdf", "FileName": "dummy-1641923583.pdf", "FileSize": 13264, "FileModifyDate": "2024:12:14 13:00:56+00:00", "FileAccessDate": "2024:12:13 13:01:06+00:00", "FileInodeChangeDate": "2024:12:14 13:00:56+00:00", "FileType": "PDF", "FileTypeExtension": "PDF", "MIMEType": "application/pdf"}, "PDF": {"PDFVersion": 1.4, "Linearized": false, "PageCount": 1, "Author": "Evangelos Vlachogiannis", "Creator": "Writer", "Producer": "OpenOffice.org 2.1", "CreateDate": "2007:02:23 17:56:37+02:00"}}
                                                                                                                                                                                                                    
                                                                                                    

File Exif Extractor - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/5257/deep+file+detective+api/6772/file+exif+extractor?url=https://conasems-ava-prod.s3.sa-east-1.amazonaws.com/aulas/ava/dummy-1641923583.pdf' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Deep File Detective API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Deep File Detective API FAQs

Send a file URL, and the API extracts hidden metadata for analysis and insights.

The Deep File Detective API is a metadata extraction tool that reveals hidden file details such as creation date, location and device information.

Receives file URLs as input, provides extracted exif metadata like dates, locations, and device info.

Investigating the origin and details of images or documents. Forensic analysis of digital files. Verifying authenticity and creation details of online content.

Beside the number of API calls per month allowed, there are no other limitations.

There are different plans suits everyone including a free trial for small amount of requests, but it’s rate is limit to prevent abuse of the service.

The API uses API keys for authentication. To access the API, include your API key in the request header. The API key is provided upon registration and should be kept secure.

The API returns detailed information about the age and history of a domain, including years, months and days since its creation, as well as expiration and update dates.

The API returns detailed metadata about files, including file properties (size, type, modification dates) and specific attributes for PDFs (version, author, creator, page count, and creation date).

Key fields include "FileName," "FileSize," "FileModifyDate," "PDFVersion," "Author," and "CreateDate." These fields provide essential insights into the file's characteristics and history.

The response is structured in a JSON format, with separate sections for general file information and specific metadata (e.g., PDF details). This organization allows for easy parsing and analysis.

The API provides information such as file size, modification dates, author details, and technical specifications like PDF version and page count, enabling comprehensive file analysis.

Users can customize requests by providing different file URLs to extract metadata from various file types. The API processes each URL to return relevant metadata based on the file's content.

The data is extracted directly from the file's embedded metadata, such as EXIF data for images or PDF metadata. This ensures that the information is accurate and reflective of the file's properties.

Users can analyze the returned metadata to verify file authenticity, track creation details, and assess the context of the file, which is particularly useful in forensic investigations and content validation.

Typical use cases include verifying the origin of digital images, conducting forensic analysis of documents, and validating the authenticity of online content by examining embedded metadata.

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