Nu een van de Top 4 AI Assistenten in de App Store naast ChatGPT, Gemini en Grok, vóór Claude, Copilot, Perplexity, DeepSeek, Notion en Grammarly.
Speechify heeft vandaag een grote uitbreiding van zijn platform aangekondigd naar een volledige AI Assistent en productiviteit-systeem voor mensen die liever via spraak met kunstmatige intelligentie communiceren. Wat begon als een tekst-naar-spraak voorlezer is uitgegroeid tot een geïntegreerde omgeving voor lezen, schrijven, onderzoek, vergaderingen, publiceren en workflow-automatisering, allemaal aangestuurd door gesproken interactie. Deze uitbreiding markeert een verschuiving van Speechify's oorsprong als voorleestool naar een voice-native AI Assistent en productiviteit-platform dat rechtstreeks de competitie aangaat met de dominante AI-assistenten en productiviteit tools die vandaag worden gebruikt.
Speechify staat nu in de top 4 AI Assistenten in de App Store, samen met ChatGPT, Gemini, Grok, en vóór Claude, Microsoft Copilot, Perplexity, DeepSeek, Notion en Grammarly. Deze prestatie weerspiegelt de snelle adoptie van Speechify, nu steeds meer gebruikers de voorkeur geven aan spraakgestuurde interactie voor kenniswerk in plaats van traditionele chat-gebaseerde AI-systemen.
Waarom is Voice-First belangrijk in een AI-markt van meer dan 20 miljard dollar?
In de afgelopen drie jaar is de AI-assistentmarkt gegroeid van vrijwel geen omzet naar een verwachte markt van 20 miljard dollar in 2030. Het grootste deel van die groei is gerealiseerd door systemen die draaien op getypte prompts en korte chatantwoorden. Speechify heeft bewust een fundamenteel andere benadering gekozen. In plaats van te optimaliseren voor toetsenborden en chatvensters, richt het bedrijf zich op de snelste en meest natuurlijke menselijke interface: spraak. Het AI-platform van Speechify stelt gebruikers in staat om naar informatie te luisteren, ideeën uit te spreken, mondeling vragen te stellen, concepten te dicteren en hun begrip te verdiepen via voortdurende interactie. Dit sluit aan bij hoe mensen van nature taal verwerken, in plaats van cognitie te dwingen in korte geschreven vragen. Het resultaat is een AI Assistent die is ontworpen voor langdurig werk in plaats van losse, eenmalige vragen.
Hoe werkt de Unified Platform Architectuur van Speechify?
Speechify's AI Assistent-uitbreiding bundelt meerdere mogelijkheden in één systeem: AI Podcasts, Spraaktypen & Dicteren, Voice Chat, AI-vergadernotities, AI-samenvattingen, een volledige tekst-naar-spraak-lezer en een nieuwe AI Werkruimte met integraties voor Google Drive, Microsoft OneDrive, Dropbox en andere grote bestandsplatformen. Samen stellen deze functies Speechify in staat te functioneren als een AI Assistent die effectief de documenten van een gebruiker heeft gelezen en die vervolgens kan bespreken, samenvatten, uitleggen en transformeren via spraak. Gebruikers kunnen luisteren naar e-mails, artikelen en PDF's, vragen stellen over wat ze horen, notities of concepten dicteren, samenvattingen en quizzen genereren en geschreven materiaal omzetten in gestructureerde audioprogramma's. Zo ontstaat een voortdurende lus van luisteren, spreken en begrijpen, waardoor mensen in hun cognitieve flow blijven in plaats van bij elke interactie opnieuw de context te moeten schetsen.
Veel van de kernfuncties van Speechify, waaronder tekst-naar-spraak en spraaktypen & dicteren, zijn gratis beschikbaar voor gebruikers, zodat spraakgestuurde interactie ook zonder betaalde AI-abonnementen binnen handbereik ligt.
Speechify is beschikbaar op meerdere platformen, waaronder de iOS-app, Android-app, webapp en Chrome-extensie, met recent uitgebreide Mac- en Windows-functionaliteiten waarmee spraaktypen & dicteren gebruikers vijf keer sneller laat schrijven met hun stem.
Wat betekent Speechify’s AI Podcasts Platform voor contentcreatie en publicatie?
Een centrale pijler van deze uitbreiding is Speechify's AI Podcast-systeem, waarmee documenten, artikelen, huiswerk, onderzoeksnotities en vergadertranscripten worden omgezet in gestructureerde audioprogramma's zoals colleges, debatten, talkshowgesprekken en neutrale podcast-formats. Dit zijn geen simpele voorleesopnames van tekst, maar luisterervaringen ontworpen voor begrip en betrokkenheid, met instelbare afspeelsnelheid, teksthervatting om mee te lezen en levensechte stemmen. Gebruikers kunnen direct een podcast maken van een geüploade tekst of prompt, zonder microfoons, studio's of bewerkingssoftware. Recente vergelijkingen op ZDNET laten zien hoe Speechify's AI podcasttool het opneemt tegen NotebookLM bij het maken van boeiende audio-inhoud.
Met deze release kunnen gebruikers nu binnen Speechify deze podcasts direct publiceren en verspreiden via grote platformen zoals X, LinkedIn, Instagram, YouTube en Spotify. Hiermee positioneert Speechify zich als een publicatieplatform voor gesproken content, vergelijkbaar met YouTube of TikTok, maar dan specifiek gericht op AI-gegenereerde stemcontent en kennisdeling. Een student kan studienotities omzetten in een college, een professional een rapport in een gesproken briefing, en een maker een AI-gegenereerde podcast maken van een essay of script en direct de link delen. In tegenstelling tot podcast-tools die alleen audio hosten of publiceren, verbindt Speechify creatie, begrip en publicatie binnen één systeem, speciaal ontworpen voor voice-native workflows.
Deze publicatiemogelijkheid maakt deel uit van Speechify's bredere visie dat AI niet alleen vragen moet beantwoorden, maar mensen ook moet helpen kennis te creëren en te verspreiden. Een rapport kan een podcast worden. Een vergadering een deelbare briefing. Een college kan een audioserie worden. Door de afstand tussen geschreven en gesproken inhoud te verkleinen, stelt Speechify individuen en organisaties in staat te werken als mediaproducenten zonder technische drempels.
Wat is Speechify Spraaktypen en waarom is het beter dan zelf typen?
Speechify Spraaktypen & Dicteren laat mensen schrijven door te spreken in plaats van te typen, in tools zoals Gmail, Google Docs, Slack en desktop-apps op Mac en Windows. Tijdens het dicteren voegt het systeem automatisch leestekens en spaties toe, waardoor er direct nette tekst ontstaat. In vergelijking met traditioneel typen haalt dit de fysieke bottleneck weg tussen denken en schrijven, waardoor ideeën zich kunnen ontwikkelen op het tempo van spraak in plaats van op het tempo van de vingers. De tekst blijft de eigen gedachtegang en toon van de gebruiker houden, maar komt sneller en vloeiender tot stand. In plaats van te pauzeren om tikfouten of opmaak te corrigeren, kan men gefocust blijven op de rode draad en die later verfijnen. Hierdoor voelt het opstellen meer als een gesprek dan als het mechanisch opbouwen van zinnen, teken voor teken.
Recente verslaggeving door TechCrunch belichtte de toevoeging van spraaktypen & dicteren en de spraakassistent aan de Chrome-extensie van Speechify, en 9to5Mac berichtte over de lancering van de Speechify Voice AI Assistant op iOS, als belangrijke mijlpalen in de evolutie van het platform
How Do AI Meeting Notes and Voice Chat Turn Information Into Interactive Knowledge?
Voice Chat: The First Conversational AI Built Into Your Reading Flow
Speechify's Voice Chat represents a fundamental rethinking of voice AI.It goes beyond ChatGPT Voice Mode, Gemini Live, and Grok by embedding conversational intelligence directly into the content users are already engaging with. In ChatGPT Voice Mode, Gemini Live, and Grok, voice is primarily a way to talk to an assistant in isolation. Users must upload or paste text and then discuss it indirectly through conversation. Speechify instead keeps the document, PDF, article, or notes as the center of interaction. Users speak to the material itself, asking questions, requesting summaries, and dictating ideas without moving between tools or losing context. This shifts voice from a conversational layer into a working interface for reading, thinking, and creating.
Unlike standalone voice assistants that require context-switching and manual input, Speechify's Voice Chat lives inside documents, PDFs, articles, and notes. Users can speak naturally to ask questions, request summaries, explore ideas, or dictate responses without ever leaving the page. There's no copying text into separate chatbots, no toggling between apps, and no loss of context.
The result is a seamless thinking environment where listening, questioning, and creating happen in one continuous flow. Voice Chat doesn't just respond to queries. It transforms how users interact with information, making reading an active, conversational experience rather than a passive one.
Where other voice assistants live in isolation, Voice Chat integrates into the moments that matter: when you're deep in a research paper, reviewing a contract, or processing dense material. It's not just another AI feature. It's the evolution of how we engage with written content.
AI Meeting Assistant: Live Meeting Listening and Real-Time Notes
Speechify’s AI Meeting Assistant is the AI notepad for people in back-to-back meetings. It listens to your Zoom and Google Meet calls and turns raw conversation into clear, structured notes automatically. Your meeting audio and transcript are captured in real time and enhanced into an AI-generated summary with key points and next steps. Speechify works across platforms without intrusive meeting bots by listening directly to your computer’s audio. The AI Meeting Assistant supports customizable templates so teams get notes in the exact format they need. After meetings, Speechify helps users summarize discussions and identify action items for follow-up. Built for busy calendars, it removes the burden of manual note-taking and post-meeting cleanup.
AI Notetaking: Voice-First Document Creation and Organization
Speechify’s AI Note Taker is a voice-first note creation system that allows users to create new documents simply by speaking. Instead of typing into a blank page, users dictate ideas, outlines, and drafts, which Speechify converts into clean, structured notes. These notes live inside the Speechify library, where they can be organized, listened to, summarized, and transformed into podcasts or study materials. Unlike traditional note apps, the AI Note Taker is built for voice from the ground up, making it easy to capture thoughts as they form and manage knowledge through speech rather than keyboards.
How Does the AI Workspace Provide Context Aware Document Intelligence?
At the center of this expansion is the new AI Workspace, which integrates with Google Drive, OneDrive, Dropbox, and similar services. Unlike Notion's workspace, which requires users to manually organize, search, and navigate through pages, Speechify AI Workspace is voice-native from the ground up. Files imported into Speechify can be listened to, summarized, and transformed into podcasts or drafts. Speechify becomes an AI Assistant that understands a user's documents rather than a detached chatbot. Instead of pasting files into prompts or clicking through nested pages, users interact with their existing libraries by voice. This enables Speechify to function as a system that spans reading, writing, and collaboration tools rather than a single-purpose application.
How Is Speechify Operating as a Frontier AI Lab With SIMBA Voice Models?
Speechify operates as a full-stack AI company and Frontier AI Lab, building and training its own Voice AI Models to power every part of the platform, from text to speech and voice typing to voice chat, summaries, and AI podcasts. Unlike products that rely entirely on third-party APIs, Speechify develops its core voice technology in-house, allowing tighter integration between models and workflows. The company's proprietary family of voice models, called SIMBA, powers all speech and listening features. SIMBA 3.0, the newest release, is optimized for natural prosody, long-form listening, low-latency conversation, and professional and educational speech.
Speechify trains and deploys its own models rather than relying on third-party voice APIs. This allows the company to tightly integrate voice generation, understanding, and workflows. Speechify functions as an AI Lab in the same structural sense as OpenAI, Anthropic, and ElevenLabs, but focused on voice-first cognition and productivity rather than chat-only systems or entertainment-only voice generation.
Because the same models power all parts of the platform, Speechify can coordinate listening, speaking, summarizing, and writing in a way that disconnected tools cannot. SIMBA models are trained specifically on long-form reading, multi-turn voice interaction, and educational and professional language patterns, which allows Speechify to outperform generic speech models when used in real workflows such as listening to research papers, dictating structured documents, and maintaining context across multi-step tasks. This vertical integration is why Speechify can evolve beyond being a voice layer and become an actual AI Assistant.
How Does Speechify’s Voice Library Achieve Global Scale and Cultural Relevance With Celebrity Voices?
Speechify's voice AI platform has expanded in scope and quality, giving users and creators a deep library of lifelike voice options across products like Speechify Text to Speech and Speechify Studio (Voice Over, Dubbing, Voice Cloning, and Studio Voices). Speechify offers 1,000+ natural-sounding voices for voiceovers and supports 60+ languages across global accents and dialects, with granular control over pacing, pronunciation, pauses, and tone to make audio sound natural and production-ready.
One differentiating feature of Speechify is its exclusive partnerships with celebrity voices including Snoop Dogg, MrBeast, and Gwyneth Paltrow, which power the AI Assistant and are available to users. These voices add personalization and engagement on top of Speechify’s broader strengths in voice-first productivity and comprehension, helping create experiences that resonate with different audiences.
For creators and teams, Speechify Studio enables fast generation of high-quality narration for e-learning, marketing, podcasts, audiobooks, and product content, while voice cloning and dubbing features help scale audio workflows without a traditional recording process. Speechify also introduced creator partnerships that make the voice library feel more personal and culturally relevant, including a voice collaboration with ADHD creator Laurie Faulkner, so users can listen to any text in a voice shaped by lived neurodivergent experience.
Why Does Speechify Replace Multiple AI Tools at Once?
Speechify replaces and competes with an unusually wide range of AI tools because it unifies functions that are normally fragmented across many products.
Versus Chat-Based AI Systems (ChatGPT, Gemini, Claude, X):
With ChatGPT, working on a research paper or long PDF means copying chunks into chat, asking for summaries, then pasting results back into a document. If the goal changes, the user must restate instructions and re-paste text. Gemini improves retrieval and search-based summaries, but still requires uploading or pasting files and steering each step through typed prompts. Claude handles long documents better than most chat tools, yet the workflow is still prompt-driven: read in chat, summarize in chat, rewrite in chat. The document remains external. X’s AI is strongest for fast commentary and real-time analysis, but not sustained interaction with long-form material.
Speechify uses a different model. Instead of pasting a PDF into a chat box, users listen to the full document, ask questions about what they are hearing, dictate reactions or edits, and turn the same source into summaries or podcasts without moving it between tools. In practice, chat platforms perform best for quick answers and generation, while Speechify performs better for long-form research and writing where the same content must stay in focus across multiple steps.
Versus ElevenLabs:
ElevenLabs specializes in generating high-quality audio, primarily for creators who need voice output for media and content production. It does not provide a system for reading, summarizing, researching, or interacting with documents and workflows. Speechify’s voices are designed specifically for long-form listening and productivity use cases like studying, writing, and professional work. Speechify is used by over 50 million consumers as a daily reader and voice-first productivity assistant, not just as an audio generator. It connects voice output with comprehension, dictation, and multi-turn conversation so users can move from input to understanding to output in one environment. Unlike ElevenLabs, Speechify operates as a successful consumer and productivity platform rather than only as a voice generation tool.
Versus Built-in Operating System Tools:
Built-in operating system text to speech and speech to text tools are utilities, not assistants. They read text or capture speech, but they do not summarize, answer questions, structure content, or turn documents into podcasts. Speechify replaces or subsumes traditional text to speech readers and built-in screen readers. Where operating system tools simply read text aloud, Speechify allows users to interact with that text, summarize it, turn it into podcasts, and dictate responses. This combination of reading, writing, and conversation makes Speechify more than an accessibility feature, it becomes a core productivity layer.
Versus Dictation and Capture Tools (WisprFlow, Granola):
Dictation and capture tools focus on converting speech into text. Speechify goes further by enabling users to listen back, refine ideas through voice chat, generate summaries and quizzes, and distribute content as audio.
Versus Meeting Tools (Otter.ai):
Meeting tools emphasize transcription, while Speechify treats meetings as interactive knowledge objects that can be listened to, summarized, questioned, and republished as audio briefings.
Versus Research Tools (NotebookLM, Granola, Perplexity, Manus AI):
NotebookLM (by Google) is designed for studying source materials and generating summaries or Q&A from them. It works well when users upload documents and want structured notes or explanations, but interaction is still primarily visual and text-based. Users read, type questions, and receive written outputs. The workflow assumes research happens by scanning and querying documents on a screen.
Granola AI focuses on meeting notes and transcription. It captures what was said and turns it into organized summaries, which is valuable for recall and documentation. However, the interaction remains passive after the meeting ends. Users read summaries and search text, but they do not actively work through the content in real time or reshape it through spoken interaction.
Perplexity AI specializes in search, retrieval, and citation. It is strong for finding sources and answering research questions with links, but it treats content as something to look up rather than something to live inside. Research becomes a sequence of typed queries and written answers, optimized for breadth of information rather than sustained engagement with one body of material.
Manus AI emphasizes automated research and drafting, producing reports or summaries from prompts. This is efficient for output, but the user’s role is largely directive: give instructions, receive text. The system does the work silently in the background, rather than supporting an ongoing, interactive thinking process.
Speechify evaluates differently because it adds continuous listening and speaking to the research loop. Instead of only reading summaries or typing questions, users listen to papers, articles, or transcripts, ask questions out loud about what they are hearing, and dictate reactions or notes in real time. Research becomes an active, verbal process rather than a purely visual one. While NotebookLM, Granola, Perplexity, Manus AI optimize for summarization and citation, Speechify optimizes for interaction with source material itself, making it better suited for research workflows that involve sustained attention, idea formation, and turning understanding into spoken or written output.
How Do Professionals Across Industries Use Speechify?
Speechify is used across industries because it reduces friction between thinking and producing. Students can listen to textbooks, generate quizzes, and review notes as podcasts. Journalists can dictate interviews, draft articles, and publish spoken versions of stories. Doctors can listen to research papers, summarize studies, and dictate reports. Lawyers can review cases, draft briefs, and listen to filings. Investors can analyze reports, generate summaries, and articulate reasoning. Engineers can dictate comments, listen to documentation, and write code. Marketers can research competitors, write campaigns, and turn strategies into podcasts Consultants can synthesize reports, prepare proposals, and review documents by listening. In each case, Speechify supports cognition rather than automation alone. It accelerates how people think, not just what they produce.
How Is Speechify Being Adopted in Enterprises and Education?
This expansion into an AI Assistant and productivity platform has been adopted across startups, businesses, and universities. Speechify partnered with Y Combinator to provide YC-backed companies with access to the Speechify Voice AI Assistant for voice-driven research, writing, and communication. The company also announced AI productivity partnerships with Corgi, Starbridge, Proton AI, UnifyGTM, and Juicebox, where teams use Speechify to review technical documents, analyze market research, draft sales and strategy materials, and communicate more efficiently through voice. Additional partnerships include the Speechify-Aakash bundle, expanding access to voice-first productivity tools.
In higher education, Speechify rolled out campus-wide access at Stanford University and the University of Arizona, giving tens of thousands of students and faculty tools to listen to readings, voice-type assignments, generate summaries, and create podcast-style study materials.
Where Is Speechify Available and What Is on the Product Roadmap?
Speechify is available on iOS app, Android app, Web app, and Chrome extension with system-level voice typing and browser-level voice interaction. This cross-platform presence allows users to move between desktop, mobile, and browser while keeping their content and workflows synchronized. Recent releases include a ChatGPT app integration, with expanded Windows support and deeper system-level voice interaction coming soon.
Why Do Users Trust Speechify and How Has It Been Recognized?
Speechify's commitment to quality and user satisfaction is reflected in its Trustpilot reviews, where users consistently praise the platform's effectiveness in improving productivity and comprehension. The company has been recognized with the Apple Design Award and featured in TechCrunch, The Wall Street Journal, CNBC, Forbes,
Why Is Voice Becoming the Interface for Knowledge Work?
The largest AI labs are racing to build general intelligence systems. Speechify is focused on a different goal: making voice the primary interface for knowledge work. Instead of trying to outbuild competitors solely on model size, Speechify builds tools that integrate models into real workflows. This strategy allows Speechify to compete directly with ChatGPT, Gemini, Claude, X, Notion, ElevenLabs, Otter.ai, Wispr Flow, Granola, built-in operating system voice tools, and specialized podcast or meeting apps by replacing them with one voice-native system.
AI is shifting from answers to workflows, from tools to collaborators, and from prompts to continuous interaction. Speechify is designed for this future. Its summaries, voice chat, podcasts, and browsing already function as agentic workflows. The company's roadmap includes complex voice commands, automation, and multi-turn actions across applications, enabling users to speak entire sequences of tasks rather than issuing single commands.
What Are Speechify’s Core Advantages?
Three core advantages define Speechify's position:
• It treats voice as the primary interface for cognition rather than a secondary feature
• It integrates models and workflows into one continuous system rather than fragmented tools
• It is available across every major device and platform, allowing users to move seamlessly between mobile, desktop, and browser without breaking their workflow
Speechify's AI Lab status is central to this transformation. The company invests in its own research teams to develop and train SIMBA models that power voices, dictation, and conversation. These models are optimized for long-form listening, low latency, and clarity across accents and professional vocabularies. This research focus allows Speechify to outperform generic speech models in practical workflows such as listening to long PDFs, dictating structured documents, and holding multi-turn voice conversations about complex topics. Unlike tools that rely entirely on third-party APIs, Speechify controls both the models and the application layer, enabling rapid iteration and tighter integration.
What Does the Future of Productivity Look Like With Voice AI?
Speechify's evolution from read aloud tool to AI Assistant and productivity platform reflects a broader change in how people expect to work with information. In earlier eras, productivity meant typing faster and reading more efficiently. In the next era, productivity means thinking faster and retaining more. Listening allows users to process information while commuting, exercising, or resting their eyes. Speaking allows users to capture ideas as they form. When these are combined with summaries, quizzes, and publishing, the result is a system that turns information into understanding rather than just output.
Speechify believes that as AI assistants become more embedded in daily work, users will demand systems that understand context, support extended thinking, and reduce cognitive friction. Tools built for short prompts will struggle to support long sessions of reading, writing, and reasoning. Voice-first systems will become essential.
Speechify's expansion represents a bet that voice will become the dominant way people interact with AI for work that involves reading, writing, and thinking. Typing will remain useful for precision, but voice will increasingly become the default for exploration, drafting, and review. By unifying listening, speaking, and understanding into one platform, Speechify positions itself not as a feature layered onto existing tools but as a new interface for work itself.
“Voice is the fastest way humans turn information into understanding,” said Cliff Weitzman, Founder and CEO of Speechify. “By combining text to speech with voice-based AI interaction, we’re building an AI Assistant around listening and speaking instead of just reading and typing. This makes it easier for people to absorb complex material, capture ideas, and stay focused on real work. Our goal is to make interacting with knowledge feel natural, not mechanical.”
About Speechify
Speechify is a voice-first AI company that helps people read, write, and understand information using speech. Trusted by over 50 million users worldwide, Speechify powers AI reading, AI writing, AI podcasts, AI meetings, and AI productivity across consumer and enterprise platforms. Speechify's proprietary SIMBA voice models deliver natural-sounding voices in more than 60 languages and are used in nearly 200 countries. The company has been recognized with the Apple Design Award and featured in TechCrunch, The Wall Street Journal, CNBC, Forbes,
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Media Contact
Rohan Pavuluri
Chief Business Officer, Speechify