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.
Looking for a specialist in deep analysis of metadata in PDF files.
A deep understanding of the internal structure of PDF (XMP, Info Dictionary) and experience in removing hidden information, such as edit history and artifacts, is required.
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.
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.
We work carefully, without damaging the document structure, while preserving the original quality.
We are ready to start immediately after receiving sample files or a technical specification.
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
A simple Python script is needed for Windows that works with Microsoft Edge, opens my LinkedIn feed, scrolls through it, finds posts with specific words, and writes the results to a file. We had a working script, but a few days ago it stopped working due to an Edge update; it just no longer automates. What the script should do 0. Read the list of keywords and the number of posts to process from the configuration. 1. Open Microsoft Edge. 2. Go to: https://www.linkedin.com/feed/ 3. I log in manually if needed. 4. The script scrolls down the feed, for example, 30 posts. 5. It searches for the specified words in the posts. 6. If it finds a post with the required word, it writes to CSV or JSON: post_url, author, text, matched_keyword Doing it in Python and running it in Edge are mandatory conditions.
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Task type: video processing speed optimization Python - developer with experience in OpenCV, FFmpeg, MediaPipe
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