• Projects 5
  • Rating 4.2
  • Rating 2 227

Budget: 120 EUR Deadline: 3 days

Hello! I have reviewed your assignment and believe that I can successfully complete it. I would be happy to collaborate, please write to me personally for further details.

  • Projects 4
  • Rating 4.0
  • Rating 618

Budget: 125 EUR Deadline: 2 days

Hello!
I represent the company Innovatech (https://innovatech-xi.vercel.app/) — we are engaged in the development and technical audit of solutions of any complexity, including analysis and processing of PDF documents at a low level.

We have experience working with the internal structure of PDF (XMP, Info Dictionary, Object Streams, cross-reference tables) and can extract and safely clean metadata, including hidden information, edit history, and embedded artifacts.

✅ What we can do:
– Complete audit of metadata and internal PDF objects;
– Removal of XMP records, temporary tags, and history traces;
– Integrity check of the file after cleaning;
– Preparation of a report before/after analysis.

  • Projects -
  • Rating -
  • Rating 252

Budget: 100 EUR Deadline: 3 days

Dear Esteemed Client,

I know you might have received a lot of proposals, but I stand out, not just for technical expertise, but for my precision, confidentiality, and commitment to excellence. Before we begin, could you please clarify how many PDF files require metadata analysis and whether your primary goal is metadata extraction, sanitization, or forensic validation? Also, do you prefer maintaining some document properties (like author/date) while cleaning hidden data, or should all traces of internal edits be completely removed?

Your project holds great importance because metadata in PDF files often contains hidden risks, from confidential edit trails and embedded scripts to traceable user information. Cleaning and auditing this data is critical not only for compliance (GDPR, HIPAA, or internal security) but also for protecting the integrity and privacy of your organization’s documents. I have a sample PDF metadata audit report ready to show, demonstrating how I identify and safely remove deep-level information from XMP streams and Info Dictionaries without corrupting file structure or visual fidelity.

With strong experience in PDF forensics, XMP structure analysis, and automated sanitization using Python and Adobe SDK tools, I can ensure your documents become 100% clean, safe, and compliant, ready for secure use or sharing. Let’s move forward and make your files fully transparent and protected. I’m ready to start immediately and deliver results with precision and confidentiality.

Best regards,
Muritala

Proposals concealed

The list does not show proposals concealed by the client or freelancer with a Plus profile, as well as proposals violating rules

Current freelance projects in the category Python

7:29
7 July
6 July
6 July