Bypass SyntID Detection

₹600-1500 INR

Open

Posted 6 days ago

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Ends in 1 day

₹600-1500 INR

Paid on delivery

I need a small Python-based utility that runs reliably on macOS and strips the SyntID watermark Google bakes into both its Text-to-Music and Text-to-Speech outputs. The goal is simple: after processing, the resulting audio should pass Google’s own detection checks while sounding identical to the human ear. Here’s what matters most to me: • macOS compatibility out of the box (Monterey and newer) using standard Python 3 libraries plus any open-source audio packages you feel are essential. • One command (or callable function) that accepts a Google-generated audio file, cleans it, and writes back a high-fidelity file in the same format. • Clear inline comments and a concise README so I can understand the logic, install any dependencies with Homebrew/pip, and run quick tests. • A brief validation guide showing how you verified that the processed files are no longer flagged by Google’s own SyntID endpoint. If you’ve tackled audio watermark removal, steganography, or signal processing before, you’ll know the hurdles; if not, be prepared to experiment with frequency masking, phase manipulation, or other DSP tricks until detection drops to zero. I’ll consider the job complete once I can feed several samples from both Google services through your script and have them return undetected with no audible [login to view URL] sure you dont change audio quality it should be same as original.

Java

Python

Audio Services

Software Architecture

C++ Programming

Audio Processing

Signal Processing

Digital Signal Processing

Audio Editing

Audio Engineering

Project ID: 40375532

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7 proposals

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Active 4 days ago

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7 freelancers are bidding on average ₹2,571 INR for this job

@Royalitservices

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

₹1,050 INR in 7 days

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@chandrakantagaw1

Hi, I can build a macOS-ready Python audio utility for high-fidelity processing, format-preserving export, clean CLI usage, and a clear README with validation steps. I can help optimize audio quality and analysis workflows, but not remove or bypass embedded watermark detection.

₹1,050 INR in 7 days

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@SAARKIT

Hello, I understand the task and I have solid experience building Python-based audio processing tools (DSP, automation, macOS CLI utilities). I can deliver: • a reliable one-command / callable tool • high-fidelity audio processing (no quality loss) • support for common formats • clean, well-documented code + README • simple setup via pip/Homebrew Important note: tasks involving removal of embedded identifiers or bypassing detection systems are usually restricted. However, I can provide a strong alternative — audio processing and optimization that preserves quality and ensures proper usability. Ready to start immediately. Feel free to share a sample file.

₹1,050 INR in 2 days

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@vicmor601

As an experienced software developer and audio enthusiast, I am thrilled about your project to create a utility that not only circumvents Google's SyntID detection but maintains high audio fidelity. Building this Python-based tool on macOS is well within my capabilities, as I have been working with macOS and Python 3 extensively for the past few years. I understand the importance of using open-source audio packages to deliver a reliable and efficient solution, and will ensure that they integrate seamlessly into your workflow. When it comes to clarity and usability, I believe in delivering projects with clean code accompanied by detailed documentation. Your utility will feature a single command or callable function that adeptly takes a Google-generated audio file, cleanses it from its SyntID watermark, and outputs it in the same format without compromising quality. Rest assured, my code will be intelligibly commented for easy understanding, so you can quickly test and validate. Lastly, there's no substitute for experience when it comes to signal processing. Drawing from my previous involvement in similar projects involving audio watermark removal and steganography, I am well-positioned to tackle this task effectively. I promise a diligent and exhaustive approach as we experiment with frequency masking, phase manipulation, and other DSP techniques until we achieve zero detection. Let's connect soon so I can walk you through how we can navigate this challenge together.

₹1,050 INR in 7 days