Python Bot for Audiobook TTS & Localization

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@shadabkhan92

As a skilled Python developer with a focus on automation and AI, I have the experience needed to tackle the complexities of your Audiobook TTS & Localization project. My expertise in Machine Learning (ML) and Natural Language Processing, as well as my extensive coding skills, aligns perfectly with your requirements. Having organized large volumes of data before, I can predict and navigate the ISBN-sized task confidently. My work has often involved developing tools that hold up under demanding conditions, just like you need. I've built robust systems and utilized high-limit models, similar to what you require, ensuring efficient delivery without hidden costs. I value bringing projects to completion and understand the importance of adhering to a client's terms and conditions; my non-dispute policy guarantees honoring my commitments. Additionally, my proficiency extends beyond pure coding—I am well-versed in creating intuitive and user-friendly interfaces. The ideality of a dedicated "Generate Audio" button aligns perfectly with how i deploy interfaces; alongside features like custom speed control, volume boosts, password protection, and visible progress tracking

@MuhammadAkif8

Let’s do it. Come over to chat and I’ll show you how I’d structure the multi-mode TTS pipeline, dialogue detection, localization, and large-file processing without requiring manual text formatting. I understand you need a Python-based tool supporting English→Hindi audiobook generation, direct Hindi TTS, and plain-text translation, with automatic quote-based narrator/character voice switching, bulk replacements, chapter splitting, MP3 merging, progress tracking, and a separate “Generate Audio” trigger. I have experience with Python automation, TTS pipelines, text processing, translation workflows, file processing, APIs, and web interfaces. For the free execution requirement, I’d build around stable zero-cost engines such as Edge-TTS where appropriate and design the processing as chunked/background jobs so 10 MB files don’t have to sit in one memory-heavy request. A few things I’d like to clarify: - Can you provide the sample text for the required 2-minute pre-award test? - Should quoted dialogue always use the same female voice, or should the system support multiple character voices later? - Which hosting environment do you expect to use for the final deployment? I’d also want to validate the 10 MB processing and free-engine limitations during the sample stage rather than promising a setup that depends on hidden paid APIs. Thanks, Akif F

@raushank237

Hi, I can build this Python-based, dialogue-aware audiobook automation system with all 3 modes: • English → Hindi translation + Pocket FM-style localization • Direct Hindi → Multi-voice TTS • English → plain Hindi TXT translation without modifications The system will support Excel/TXT bulk replacements for names, locations, currency and terminology, automatically detect quoted dialogue vs narrator text, and assign separate Indian Hindi voices. I’ll design it for large files up to 10 MB using chunked/background processing, automatic chapter/part splitting, retry handling, MP3 merging, 1.0x–1.5x speed control, volume boost and progress tracking. The UI will have a separate **Generate Audio** button, so audio generation starts only after explicit confirmation. I’ll also include password protection and complete source-code/deployment handover. I can provide the required **2-minute working sample** before award demonstrating localization, dialogue detection and multi-voice audio. I’ll use free/zero-cost TTS and translation options wherever technically reliable, with no hidden paid API dependency.

@jinchengw6

Two parts of your spec decide the whole architecture, so let me answer them up front. Mode A pipeline: I would build it as TXT in, speaker-aware script out, then per-character voice mapping into an offline TTS engine (Piper or Coqui XTTS) - no per-character cloud fees and no memory blowup on large files, which is what usually makes these bots crash. Translation to Hindi runs through a translation API with a glossary file you control, so names and world-building terms stay consistent across chapters. Dialogue detection works off speaker tags and quoted lines, with a fallback you can correct manually. What I need from you before quoting the full build: (1) whether fully offline TTS is required or a paid API is acceptable for voice quality, and (2) one real sample TXT plus an example of the output you expect. Send the sample and I will build a working prototype of the dialogue-aware pipeline free, so you can judge the voices and localization before committing. Python certified; automation and scraping work is on my profile.

@Maanie786

Hello, I understand you need a robust Python tool for automating TTS, translation, and content editing for your audiobook platform. The requirement for multi-functional modes, particularly the dialogue-aware multi-voice output, stands out to me. My experience with TTS systems and natural language processing can help create a seamless pipeline that handles files up to 10 MB without crashing. I can ensure it dynamically processes dialogue and applies your specific localization needs effectively. Starting a conversation costs you nothing, and I’d be happy to discuss how we can achieve your goals. Could you clarify the types of localization adjustments you envision? Also, which TTS voices do you prefer for this project? Regards, Maanie

@nabeeli18

Good Day, I understand you're seeking a Python expert to develop a robust TTS automation tool for audiobooks, capable of multi-language processing. We’ve successfully completed similar projects in the past. Your project requires not just a TTS solution, but a dynamic tool that handles large files, applies localization, and ensures dialogue-aware outputs seamlessly. We can create a stable pipeline that meets all your specifications while ensuring high performance and user-friendly interfaces. I bring extensive experience in Python development, specializing in audio processing and natural language handling, ensuring your project runs smoothly without crashing or hidden costs. I would love to chat about your project and suggest a follow-up discussion to explore how we can make this a reality. Regards, Nabeel Ismail

@jaysone6

INTRO WE’VE JUST COMPLETED A SIMILAR PROJECT, so your post caught my attention. What would a great result look like for you? We can help you bring your project together with a clear, practical approach. MIDDLE We’ll help you achieve a robust and seamless TTS automation tool, focusing on the clean, professional, and user-friendly result you want. Our experience in Python development and TTS systems enables us to handle large files effectively, ensuring smooth processing without crashing. We understand the intricacies of multi-voice output and localization, and we're committed to delivering a solution that meets all your specifications, including dialogue-aware features and bulk content replacement. OUTRO Message me with your priorities, and let’s start there. Regards, Jayson.

@nikkibraiam

Hi, I build Python automation pipelines, and what makes or breaks a Pocket FM-style audiobook isn't the TTS engine but dialogue attribution: knowing which character is speaking each line, including the lines where the speaker is only implied by context, so every voice stays consistent across chapters. I'd handle that as a dedicated step that labels each quote with its character and keeps a voice map per book, with a quick review screen so you can correct a mislabeled line before rendering instead of re-generating a whole chapter. The three modes map cleanly onto one pipeline. Mode A runs translation (English to Hindi with Pocket FM-style localization), then speaker detection, then multi-voice MP3. Mode B detects Hindi input and skips translation. Mode C stops after translation and returns plain Hindi text. Large files are processed in chunks with progress saving, so a 10 MB novel never crashes the run, and a failed chunk can be retried without starting over. For the free and stable requirement I'd use edge-tts neural Hindi voices, which are free and handle long texts well. You'd get the tool with a simple interface, the source code and a setup guide. About eight days is realistic. Do you prefer it as a desktop app, a web dashboard, or a Telegram bot?