Gemini-ElevenLabs Make Automation

@naminghn

Hi there, I understand the need to automate the processing of outputs from Google Gemini AI into ElevenLabs through Make.com. I can help build a comprehensive scenario that not only parses Gemini text content but also formats JSON payloads correctly for API integration. Moreover, I will implement the 'eleven_multilingual_v2' model for text-to-speech generation and ensure thorough error handling and quality assurance for system stability. Given the budget of $75, I can deliver this within 10 days, ensuring high-quality results throughout the process. Your satisfaction is my priority, and I guarantee that I will deliver you a high-quality result. Regards, Ali

@arslanshahid386

Hi, I reviewed Gemini-ElevenLabs Make Automation and understand the key requirements. I can handle the work efficiently, with clean implementation, proper testing, and attention to the details that matter. I'm ready to get started and can quickly confirm the requirements before moving forward. Looking forward to working with you. Arslan Shahid

@chetanprajapat

With my solid experience in AI Automation and mobile app development, I am confident in my ability to deliver high-quality work on your Gemini-ElevenLabs project. As an engineer with over 10 years in the field, I have developed numerous mobile applications and automation systems that amplify organizational processes whilst increasing revenues, a mandate which resonates well with your needs. Given that this project requires making automation by processing Gemini's AI outputs, mapping text into an HTTP API Module and implementing error handling and end-to-end QA alongside other tasks, my skill set which includes Custom Software Development, SaaS Architecture & API Development will be of immense value. Choosing me for this project will guarantee not only superior technical skills but also a strong business-oriented approach. In addition to delivering clean, scalable code and maintaining architecture, I ensure clear communication and structured project management—a key factor in my proven delivery across various industries including e-commerce, education, healthcare, events and enterprise operations. The structured roadmap I can provide allows us to be on the same page right from the start so we can build a digital system that adds value to your business with proficiency, precision and impact.

@codeandcommand

The part where it says to parse and map Gemini output before ElevenLabs picks it up is the piece people usually botch. I'd handle that mapping in Make with a straight JSON parser module, then trigger the ElevenLabs API call off it. Can start today, working scenario in 3 days. Budget and timeline here are starting points based on the post. Once we go over the full flow, numbers may move. Want me to send a quick scope doc so we can get moving?

@hoangvanp

Hi, hope you are well. I understand your project details. I will follow instructions and keep you updated. I have 5 years of experience in PHP, API Development, Android. I have completed similar projects. Feel free to visit my profile to check latest work and feedback from clients. I would love to connect in chat to discuss details. Talk soon.

@emrahg7

Hi, The part where you mention escaping newlines and special characters before ElevenLabs gets the JSON tells me you've probably already had payloads fail or come back garbled. That's a Gemini formatting quirk, and the fix is a custom data structure in the HTTP module that sanitizes the text before it ever hits the API call. I'll build the full scenario end to end. Gemini output gets parsed and mapped, then passed through that structured HTTP module into ElevenLabs using the multilingual v2 model for the audio. I'll add error handling so a bad response or rate limit doesn't just kill the run silently, and test it with a handful of real text samples including ones with line breaks and odd punctuation to make sure the audio comes out clean. This is a build I've done pieces of before, and the JSON escaping is exactly the kind of thing that looks small until it breaks a run at 2am. I can have this done in a day for $650 flat. Can start as soon as you give the go ahead. Best, Emrah

@rajeshrolen

Hi, At first glance, this looks straightforward but there’s usually one part that causes issues later. I’ve handled similar work before and can help you avoid that. Regards, Rajesh

@CreatvieBB

Hello, With over 5 years of experience in Android and PHP development, I have a strong background in building custom solutions tailored to client needs. I have thoroughly reviewed your project requirements for Gemini-ElevenLabs Make Automation and am confident in providing a professional and efficient solution. I specialize in turning ideas into functional, user-friendly mobile applications for iOS and Android. From MVP to complete business applications, I offer services in planning, interface design, development, API integration, testing, and launch. I focus on usability, performance, clean interfaces, and scalable architecture. I would love to discuss your project further. Please start a chat so we can explore how I can help bring your vision to life. Best regards

@talhab12

100% doable. I recently built this exact Make/n8n pipeline connecting AI text directly to ElevenLabs TTS. I'll wire the Gemini module to ElevenLabs, using a custom HTTP Data Structure for safe JSON escaping, plus built-in error handling and retries for stability. I can deliver a fully tested demo in 3-4 days. Let's do it.

@innoforgetech

Gemini output breaks the moment a newline lands inside a JSON string, killing the ElevenLabs call. Defining the HTTP module's data structure first is the fix, and that's where I'd start. Relevant work: - Social Media Monitoring Automation: built a Reddit-to-Telegram n8n workflow that parsed API text, mapped fields into structured payloads, and retried failed deliveries. Workflow documentation available on request. What I'd deliver: - Make scenario pulling Gemini text, normalizing it, and mapping it into the ElevenLabs HTTP request. - Custom data structure with JSON escaping for newlines, quotes, and special characters. - Error handling that catches failed ElevenLabs calls, retries once, and logs raw payloads. Build order: data structure and escaping first, then API modules, then a QA pass using sample Gemini responses with heavy line breaks. I'd have the working scenario and handover notes in five days. The posted budget sits below a full QA pass, so I'm scoping this tight and will flag anything that needs extra paid work before building. If you can share the Make scenario export or one sample Gemini output, I'll send the data-structure draft and error-handling plan this week. Best regards, Mohammad Juned

@hashemk3

Hello, Having a strong background in API development and PHP, I'm confident in my ability to flawlessly execute your project and contribute to the Gemini-ElevenLabs collaboration. I have extensive experience integrating various AI technologies into applications, including the kind of deep connection you require between Google Gemini and ElevenLabs. I can elegantly parse and map Gemini text content into the HTTP API Module, ensuring your data is properly formatted in JSON payloads and special characters/newlines are efficiently escaped. Furthermore, I'm well-versed in AI SaaS/MVPs, precisely what you need for effective skillfully using 'eleven_multilingual_v2' model for text-to-speech audio generation. My integration approach extends beyond simply getting systems to work together; it's about ensuring they work with flawless stability. That's why I prioritize integrating proper error handling and carrying out end-to-end QA to test and verify system stability. As far as delivery time is concerned, I'm known for working efficiently without compromising quality. Being familiar with the tasks at hand, we can estimate project completion within a reasonable timeframe that suits your needs. My pricing is commensurate with the value delivered: a high-quality, bespoke solution that empowers your business processes and optimizes time spent. The opportunity to combine my skills, approach, experience, and knack for the complex at an affordable i Thanks!

@adnanmalik756

Hi, I reviewed Gemini-ElevenLabs Make Automation and understand the key requirements. I can handle the work efficiently, with clean implementation, proper testing, and attention to the details that matter. I'm ready to get started and can quickly confirm the requirements before moving forward. Looking forward to working with you. Adnan Hussain

@stephenb062

Building seamless integrations between AI outputs and applications is crucial for maximizing efficiency and user experience. This is the kind of challenge I frequently tackle, ensuring that systems work harmoniously to deliver valuable results. Your project involves parsing and mapping Google Gemini text content into ElevenLabs, which is vital for creating effective text-to-speech solutions. Implementing a custom Data Structure for JSON payloads and ensuring robust error handling will directly impact the reliability of your automation. We have 75+ 5-star reviews on similar projects and rank in the top 1% among more than 75 million Freelancer users. This experience positions us to anticipate potential pitfalls and adapt swiftly to your needs. Let's connect to discuss your vision and explore potential strategies. I’m here to provide insights that could enhance your project, regardless of whether we collaborate. Regards, Stephen

@osmani6

Hey. You want a Make scenario that takes Gemini's text, gets it into ElevenLabs cleanly, and stops breaking on escaping. Here is how I would build it, with the reasoning, so you can judge the thinking rather than take my word for it. 1. Build the ElevenLabs body with Make's Create JSON module against a defined data structure, instead of typing the payload into the HTTP module by hand. Hand-written bodies are exactly where quotes, apostrophes and newlines in a Gemini paragraph turn into a 400, and the JSON module escapes all of it for you. That single choice removes the class of bug rather than patching each instance. 2. Strip Gemini's markdown before the text reaches the request. Asterisks and heading hashes are not read as formatting by eleven_multilingual_v2, they come out as artifacts in the audio, so a request that returns 200 can still produce something unusable. One text step upstream is cheaper than re-running generations. 3. Set the HTTP module's error handler to Break with an incremental retry, not Ignore or Resume. ElevenLabs returns 429 under concurrency, and ignoring it drops that post silently with no audio and no alert. Break re-processes the same bundle once quota frees, and failures route to a log so you can see what happened. Two to three days including the QA pass, handed over with the data structure documented so you can extend the scenario later. I build n8n and Make automations daily and I would rather show you the plan than pitch you. - Osman