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audible-activator
Retrieves your activation data (activation_bytes) from Audible servers. Using https://github.com/inAudible-NG/tables project instead is recommended.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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AudioAnchor
Android audio player that tracks the listening progress of your audio books and podcasts
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https://github.com/inAudible-NG/audible-activator
But had success using:
AudioAnchor is GPL. Some features include:
Additional features include:
- Set bookmarks
- Adjust playback speed
- Export and import listening progress as SQL database
- Sleep timer
- Lock screen media controls (for Android 5.0 Lollipop and higher)
Available on F-Droid. I can't vouch for it but seems to tick some of the boxes.
I really like google text to speech and use it for my own custom audiobooks, I've tried google's microsoft's, IBM's, and a few other research ones. IBM's sounds slightly better but has a much more restricted free monthly tier, google's and microsoft's has 1 million free characters per month which goes pretty far.
Like others are saying, it's slightly robotic but I've started to listen a ton by TTS and you definitely get used to it (you even start to hear inflection in it, which is cool). I use android smart audiobook app and you can control the sound levels, turning down the high pitch aspects also helps to make it easier to listen to for longer periods of time
For HN folks, there are some pretty reasonable research projects, especially by nvidia (glownet) which you can run yourself. They sound relatively similar but the training voices are much more restricted and not as good. If anyone knows of a github/etc with a nicer diy TTS I'd be interested. The best I've seen which is customizable is https://github.com/espnet/espnet but I had trouble getting it to work, then getting it to sound ok
(For anyone else going DIY I'll warn you that the failure modes for TTS is some unerring frankly creepy sounds. Google's TTS fails very well, even for strange words, and when it gets very confused it spells it out. Some of the research ones go into haunting unrelated syllables, sometimes repeating for 10s of seconds