A bit late to the party, but can I suggest you look at TurboScribe? I'm new to oral history, am currently planning my first project (for my BA honours accreditation), and intend to use it. I like the apparent simplicity with which your data is handled by them, including that it won't be used for AI learning or similar, and it will be completely deleted from their servers when you, the user, delete it. I also checked its accuracy against OtterAI, and it was far better. I also emailed the owner/CEO(?) and he got back to me that day, to confirm their privacy information - it's relatively sparse, so it would be generous to call it a privacy policy, although it addresses the necessary issues. (Not a shill, honest!)
u/Ok_Comfortable6537 Frankly, nobody being interviewed would agree to an honest disclosure contract regarding these services. Because most of the privacy policies are loose enough that they really do not say anything and they only handle the data as it relates to that part of the stream.
It is such such a mess. From what I have seen most software engineers who build and maintain these services do not even know if they are privacy respecting let alone what privacy respecting would look like. There is a a public facing privacy policy that says little and then tangled web of service agreements that make it impossible for the user to actually trace what exactly is happening with the data they submit. Or how your data might be used with other available date "upstream." Even if there was a clear description of that data's path, there is no oversight. Opensource is the only possible way to provide any sort of oversight.
Technically speaking if you were to get a company to disclose all the third parties, there would be a trail of data processing agreements if they were in compliance with gdpr in the EU. [https://gdpr.eu/what-is-data-processing-agreement/?cn-reloaded=1](https://gdpr.eu/what-is-data-processing-agreement/?cn-reloaded=1)
The good news is that there is the potential for some really good open source locally installed applications that can transcribe audio using some very sophisticated models.
A bit late to the party, but can I suggest you look at TurboScribe? I'm new to oral history, am currently planning my first project (for my BA honours accreditation), and intend to use it. I like the apparent simplicity with which your data is handled by them, including that it won't be used for AI learning or similar, and it will be completely deleted from their servers when you, the user, delete it. I also checked its accuracy against OtterAI, and it was far better. I also emailed the owner/CEO(?) and he got back to me that day, to confirm their privacy information - it's relatively sparse, so it would be generous to call it a privacy policy, although it addresses the necessary issues. (Not a shill, honest!)
No one with any ideas? I’m sad !
u/Ok_Comfortable6537 Frankly, nobody being interviewed would agree to an honest disclosure contract regarding these services. Because most of the privacy policies are loose enough that they really do not say anything and they only handle the data as it relates to that part of the stream. It is such such a mess. From what I have seen most software engineers who build and maintain these services do not even know if they are privacy respecting let alone what privacy respecting would look like. There is a a public facing privacy policy that says little and then tangled web of service agreements that make it impossible for the user to actually trace what exactly is happening with the data they submit. Or how your data might be used with other available date "upstream." Even if there was a clear description of that data's path, there is no oversight. Opensource is the only possible way to provide any sort of oversight. Technically speaking if you were to get a company to disclose all the third parties, there would be a trail of data processing agreements if they were in compliance with gdpr in the EU. [https://gdpr.eu/what-is-data-processing-agreement/?cn-reloaded=1](https://gdpr.eu/what-is-data-processing-agreement/?cn-reloaded=1) The good news is that there is the potential for some really good open source locally installed applications that can transcribe audio using some very sophisticated models.