u/Acceptable-Item-9252

Evo jedno pitanje iz drugog ugla-

S obzirom da smo mentalitetom skloni traženju rupa u zakonu, izbagavanju kazni, viber grupama gde se upozoravamo na radare i slično (dok neko ne pogine, tada se pitamo gde je i šta radi policija), velikom broju prevara (što sitnih, što krupnih), gledanju da sebi svašta nešto sitno sredimo preko veze... I da ne nabrajam još 1000 stvari koje nisi za pohvalu, a koje (opet) krase nas Balkance (kojoj god političkoj grupi pripadali ili ne pripadali), šta mislite kako bismo reagovali da sutra zaista krene da se zavodi red?

Jer, najčešće kukamo za sistemom kada vidimo nepravdu ,,velikih" nad ,,malima", ali je isto tako činjenica da bi nas kolektivno jedino debele kazne po pitanju mnogo čega mogle dovesti u red.

Od prevara, preko prekršaja u saobraćaju, zagađivanja ulica i okoline itd.

Kao neko ko čvrsto smatra da nas jedino teška diktatura u tom segmentu može opraviti, da li mislite da bi naš narod zaista pozdravio takvo uređenje, ili bismo ipak u neku ruku zažalili?

Has anyone had this issue with Google AI Studio billing?

My Google Payments profile is already set as Individual (not Business), and all my Gmail accounts are personal accounts. But when I try to enable billing in Google AI Studio / Google Cloud, it still forces me to enter an organization name and tax information.

I checked the Google Payments profile and it definitely says Individual, so I don’t understand why it keeps treating the account like a business account.

I’ll attach a screenshot of the page where it requests the organization name.

Did anyone find a solution or workaround for this?

Hi everyone,

I’m trying to build a workflow for creating language learning and listening practice podcasts using AI, and I’m running into a problem with current tools.

My goal is to generate short podcast-style dialogues (around 10–15 minutes) with two consistent speakers for listening practice. The idea is to have natural conversations between two hosts that I can reuse across many episodes.

Previously, I was using a system inside Gemini AI Studio where I could:

• Paste a full dialogue script (speaker A / speaker B format)
• Assign names to each speaker once
• The system would automatically switch voices correctly
• Generate a clean two-speaker podcast with very little manual work

That workflow was very efficient and I was satisfied with the results most of the time.

However, that functionality seems to have changed or is no longer available in the same way, and I can’t rely on the same automatic speaker-name switching system anymore.

Because of that, I tried moving to ElevenLabs for higher-quality voices, but now the workflow feels much more manual:

• I need to split or reorganize scripts
• Assign voices line by line or in blocks
• Manually manage speaker switching
• And sometimes assemble the final audio

This turns what used to be a ~1–1.5 hour workflow into several hours per episode, which makes scaling very difficult.

So I’m trying to understand:

1. Is there currently any AI workflow that allows:

• pasting a full dialogue script
• automatically assigning two (or more) speakers
• keeping consistent voices for each speaker across episodes
• without heavy manual editing?

2. How are creators producing consistent multi-speaker language learning podcasts at scale today?

3. Is there any modern tool or pipeline that still supports a “speaker-aware automatic dialogue rendering” workflow similar to what used to exist in Gemini AI Studio?

I’m mainly looking for a way to reduce manual work while keeping quality and consistency high.

Would really appreciate any insights or real workflows people are using.

Thanks in advance 🙏

Hi everyone,

I’m trying to build a workflow for creating language learning and listening practice podcasts using AI, and I’m running into a problem with current tools.

My goal is to generate short podcast-style dialogues (around 10–15 minutes) with two consistent speakers for listening practice. The idea is to have natural conversations between two hosts that I can reuse across many episodes.

Previously, I was using a system inside Gemini AI Studio where I could:

• Paste a full dialogue script (speaker A / speaker B format)
• Assign names to each speaker once
• The system would automatically switch voices correctly
• Generate a clean two-speaker podcast with very little manual work

That workflow was very efficient and I was satisfied with the results most of the time.

However, that functionality seems to have changed or is no longer available in the same way, and I can’t rely on the same automatic speaker-name switching system anymore.

Because of that, I tried moving to ElevenLabs for higher-quality voices, but now the workflow feels much more manual:

• I need to split or reorganize scripts
• Assign voices line by line or in blocks
• Manually manage speaker switching
• And sometimes assemble the final audio

This turns what used to be a ~1–1.5 hour workflow into several hours per episode, which makes scaling very difficult.

So I’m trying to understand:

1. Is there currently any AI workflow that allows:

• pasting a full dialogue script
• automatically assigning two (or more) speakers
• keeping consistent voices for each speaker across episodes
• without heavy manual editing?

2. How are creators producing consistent multi-speaker language learning podcasts at scale today?

3. Is there any modern tool or pipeline that still supports a “speaker-aware automatic dialogue rendering” workflow similar to what used to exist in Gemini AI Studio?

I’m mainly looking for a way to reduce manual work while keeping quality and consistency high.

Would really appreciate any insights or real workflows people are using.

Thanks in advance 🙏

Hi everyone,

I’m trying to build a workflow for creating language learning and listening practice podcasts using AI, and I’m running into a problem with current tools.

My goal is to generate short podcast-style dialogues (around 10–15 minutes) with two consistent speakers for listening practice. The idea is to have natural conversations between two hosts that I can reuse across many episodes.

Previously, I was using a system inside Gemini AI Studio where I could:

• Paste a full dialogue script (speaker A / speaker B format)
• Assign names to each speaker once
• The system would automatically switch voices correctly
• Generate a clean two-speaker podcast with very little manual work

That workflow was very efficient and I was satisfied with the results most of the time.

However, that functionality seems to have changed or is no longer available in the same way, and I can’t rely on the same automatic speaker-name switching system anymore.

Because of that, I tried moving to ElevenLabs for higher-quality voices, but now the workflow feels much more manual:

• I need to split or reorganize scripts
• Assign voices line by line or in blocks
• Manually manage speaker switching
• And sometimes assemble the final audio

This turns what used to be a ~1–1.5 hour workflow into several hours per episode, which makes scaling very difficult.

So I’m trying to understand:

1. Is there currently any AI workflow that allows:

• pasting a full dialogue script
• automatically assigning two (or more) speakers
• keeping consistent voices for each speaker across episodes
• without heavy manual editing?

2. How are creators producing consistent multi-speaker language learning podcasts at scale today?

3. Is there any modern tool or pipeline that still supports a “speaker-aware automatic dialogue rendering” workflow similar to what used to exist in Gemini AI Studio?

I’m mainly looking for a way to reduce manual work while keeping quality and consistency high.

Would really appreciate any insights or real workflows people are using.

Thanks in advance 🙏

Easyest way to paste full script of two speakers, created as-

A: ...

B: ...

A: ...

B: ...

.. without pasting each line manually to each voice?

I am beyond frustrated with AI Studio. I make podcast videos (1,000–1,500 words each), and the workflow has become a manual nightmare.

The Problem: I used to be able to paste a whole script with speaker names, and the AI would automatically switch voices.

Now: If I paste the whole script into the "Speaker 1" box, Speaker 1 reads the entire thing, including the other person's lines! The only way to get two voices is to manually paste every single line into its own "Dialogue Block." For a 1,500-word script on a mobile browser, this is impossible.

How I used to do it (One paste):

Nico: Hi!

Clara: Hello! (AI would just switch voices automatically)

How I have to do it now

(Manual hell): Create Box 1 -> Paste Nico's line. Create Box 2 -> Paste Clara's line. Repeat 50 times...

Question: Is there a "Copy Box" or a setting I'm missing that will automatically split a script into these blocks? Or has Google completely killed the ability to recognize speaker names within a single paste?

Any help would be appreciated. I'm doing this on a phone and it's killing me.

Which TTS do those Language Learning Podcasts using usually, and in you opinion which one is best for that thing?

I was perfectly happy with audio I was reciving, even with 2.5 pro preview version. I belive there is no better free tts. But after these changes, there is no more option to give names to speaker 1 and 2, so when I paste full dialogue script, it doesn't automatically switch speakers... Solution?

How are those Language learning AI podcasts (static ai image, ai voices, scripts, thumbnails..) monetized???

There are bunch of them, similar approach, low effort definitely... They don't even flag it as AI content