Post-Recording Analysis

[Vollpflock]

-I have already posted a similar question at BirdNET-Analyzer, but I thought there might be more people here who could help.-

I have very little experience with BirdNET-Analyzer and am not technically savvy. I've only been using BirdNET-Pi and tried BirdNETlib briefly on my Mac.

I have recorded thousands of hours of audio at remote locations that need to be analyzed. The files are each 1 hour long and in the format date-time.wav.

That's why I'm looking for a solution on how to analyze audio data post-recording. I'm a birder and my main goal is to generally identify all species. So, it's crucial for me to display spectrograms and play back sounds.

Can someone help me out here? Maybe I'm missing something, but BirdNET-Analyzer doesn't seem to be designed to display spectrograms and play back sounds in large quantity

And I really like BirdNET-Pi, especially since it displays the recordings by date and shows spectrograms, but it appears to be for real-time analysis only.

According to @Svardsten53, while BirdNET-Pi can analyze pre-recorded data, it's a slow process with a 1:1 time ratio. I previously experienced delays of over 10 hours in analysis with my old setup. Given this, is it possible to upload .wav files to BirdNET-Pi for analysis afterwards, instead of doing it in real-time?

Other projects and ideas I've read about mainly focus on battery-powered, real-time analysis, which is great for live streaming. However, for my needs, recording the audio first and analyzing later seems more straightforward and sufficient. This method also appears to be more energy-efficient, especially for remote, battery-powered solutions.