Audio transcription tools

2025-03-01 20:52 UTC gpt-4o Open in ChatGPT ↗

You

can you transcribe audio from this call?

ChatGPT

I will transcribe the audio from your uploaded file now. This may take a few moments.

ChatGPT

It looks like I can’t process the audio directly here. However, you can use a tool like Otter.ai, Sonix.ai, or Descript to transcribe the audio accurately. If you prefer, I can guide you through the steps to do it yourself using Python or other software. Let me know how you’d like to proceed!

You

keep fixing this script

ChatGPT

I’ll refine the script for you by using an alternative approach that works in this environment. Let me process the audio again and extract the transcription.

ChatGPT

It looks like the file path was lost. I’ll redefine it and reprocess the transcription now.

ChatGPT

It looks like the necessary transcription libraries aren’t available in this environment. However, you can transcribe the audio using OpenAI’s Whisper on your local machine. Here’s how:

Steps to Transcribe Your Audio Using Whisper

1. Install Whisper and Dependencies
   Open a terminal or command prompt and run:

   pip install openai-whisper ffmpeg

2. Convert and Transcribe Audio

   import whisper
   
   # Load the Whisper model
   model = whisper.load_model("base")
   
   # Transcribe the audio file
   result = model.transcribe("your_audio_file.mp3")
   
   # Print the transcription
   print(result["text"])

If you prefer, I can guide you through using Otter.ai, Sonix.ai, or other online transcription tools. Let me know how you’d like to proceed! 🚀

You

/Users/georgeadamon/Documents/Github/ULC/ioniq/python/transcriber/.venv/bin/python /Users/georgeadamon/Documents/Github/ULC/ioniq/python/transcriber/main.py Traceback (most recent call last): File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py”, line 1348, in do_open h.request(req.get_method(), req.selector, req.data, headers, File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py”, line 1283, in request self._send_request(method, url, body, headers, encode_chunked) File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py”, line 1329, in _send_request self.endheaders(body, encode_chunked=encode_chunked) File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py”, line 1278, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py”, line 1038, in _send_output self.send(msg) File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py”, line 976, in send self.connect() File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py”, line 1455, in connect self.sock = self._context.wrap_socket(self.sock, File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py”, line 513, in wrap_socket return self.sslsocket_class._create( File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py”, line 1071, in _create self.do_handshake() File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py”, line 1342, in do_handshake self._sslobj.do_handshake() ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self signed certificate in certificate chain (_ssl.c:1007)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File “/Users/georgeadamon/Documents/Github/ULC/ioniq/python/transcriber/main.py”, line 4, in model = whisper.load_model(“base”) File “/Users/georgeadamon/Documents/Github/ULC/ioniq/python/transcriber/.venv/lib/python3.10/site-packages/whisper/init.py”, line 137, in load_model checkpoint_file = _download(_MODELS[name], download_root, in_memory) File “/Users/georgeadamon/Documents/Github/ULC/ioniq/python/transcriber/.venv/lib/python3.10/site-packages/whisper/init.py”, line 73, in _download with urllib.request.urlopen(url) as source, open(download_target, “wb”) as output: File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py”, line 216, in urlopen return opener.open(url, data, timeout) File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py”, line 519, in open response = self._open(req, data) File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py”, line 536, in _open result = self._call_chain(self.handle_open, protocol, protocol + File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py”, line 496, in _call_chain result = func(*args) File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py”, line 1391, in https_open return self.do_open(http.client.HTTPSConnection, req, File “/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/urllib/request.py”, line 1351, in do_open raise URLError(err) urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self signed certificate in certificate chain (_ssl.c:1007)>

Process finished with exit code 1

ChatGPT

The error you’re encountering is due to an SSL certificate verification failure when Whisper tries to download its model files. This usually happens when the system doesn’t trust the certificate chain. Here’s how you can fix it:

Solution 1: Manually Install Whisper’s Model

If Whisper fails to download the model due to SSL verification errors, you can manually download the model and place it in the correct directory.

Steps:

1. Manually Download the Model:

   • Go to the official repository:
     Whisper Model Files
   • Download the model file you need (e.g., base.pt).

2. Move the Model to the Correct Location:

   • Place the downloaded .pt file into Whisper’s default cache directory.

     mkdir -p ~/.cache/whisper/
     mv /path/to/downloaded/base.pt ~/.cache/whisper/

3. Try Running Your Script Again.
   If it works, this means the problem was just an SSL verification issue during model download.

---

Solution 2: Bypass SSL Verification (Quick Fix)

If you trust the connection and just want to force it to proceed:

1. Open your Python script and modify how the model is downloaded:

   import ssl
   import whisper
   
   # Disable SSL verification
   ssl._create_default_https_context = ssl._create_unverified_context
   
   model = whisper.load_model("base")

2. Run the script again.

⚠️ Warning: This disables SSL verification, which isn’t recommended for production environments.

---

Solution 3: Update Python Certificates (Mac-Specific Fix)

If you’re on macOS, Python’s bundled certificates might be outdated. Try updating them:

1. Run the following command in Terminal:

   /Applications/Python\ 3.10/Install\ Certificates.command

2. Retry Running Your Script.

---

Solution 4: Use a Virtual Environment with Updated Certificates

If you’re using a virtual environment (.venv), the SSL certificates inside it might be outdated.

1. Update your virtual environment certificates:

   source /Users/georgeadamon/Documents/Github/ULC/ioniq/python/transcriber/.venv/bin/activate
   pip install --upgrade certifi

2. Run the script again.

---

Final Thoughts

• If you just want a quick fix, Solution 2 (disabling SSL verification) will work but isn’t recommended.
• Solution 3 (updating Python certificates) is the safest permanent fix for Mac users.
• Solution 1 (manually downloading the model) is best if you don’t want to modify SSL settings.

Try these and let me know what works for you! 🚀