Nå en av topp 4 AI-assistenter i App Store sammen med ChatGPT, Gemini og Grok – foran Claude, Copilot, Perplexity, DeepSeek, Notion og Grammarly.
Speechify annonserte i dag en betydelig utvidelse av plattformen sin til et komplett AI-assistent- og produktivitetssystem, spesielt utformet for personer som foretrekker å samhandle med kunstig intelligens gjennom stemme. Det som startet som en tekst-til-tale-leser, har utviklet seg til et integrert miljø for lesing, skriving, research, møter, publisering og arbeidsflytautomatisering – alt drevet av talesamhandling. Denne utvidelsen markerer et skifte fra Speechify sin opprinnelse som et opplesningsverktøy til en stemmebasert AI-assistent- og produktivitetsplattform som nå er ment å konkurrere direkte med dagens ledende AI-assistenter og produktivitetsverktøy.
Speechify er nå en topp 4AI-assistent i App Store, og rangeres side om side med ChatGPT, Gemini, Grok og foran Claude, Microsoft Copilot, Perplexity, DeepSeek, Notion og Grammarly. Denne prestasjonen viser Speechify sin raske utbredelse, ettersom brukere i økende grad foretrekker stemmebasert samhandling for kunnskapsarbeid fremfor tradisjonelle chatbaserte AI-systemer.
Hvorfor betyr stemmebasert teknologi noe i et AI-marked på over 20 milliarder dollar?
De siste tre årene har markedet for AI-assistenter vokst fra praktisk talt null inntekter til et forventet marked på 20 milliarder dollar innen 2030. Mesteparten av denne veksten har blitt fanget opp av systemer bygget rundt skriftlige prompt og korte chat-svar. Speechify har tatt en fundamentalt annerledes tilnærming. I stedet for å optimalisere for tastaturer og chatbokser, har selskapet fokusert på det raskeste og mest naturlige menneskelige grensesnittet: stemmen. Speechify sin AI-plattform lar brukere lytte til informasjon, si ideene sine høyt, stille spørsmål muntlig, diktere utkast og forbedre forståelsen gjennom kontinuerlig interaksjon. Dette gjenspeiler hvordan mennesker naturlig prosesserer språk og tanker, i stedet for å tvinge alt inn i korte skriftlige forespørsler. Resultatet er en AI-assistent laget for langvarig arbeid, ikke bare enkeltstående spørsmål.
Hvordan fungerer Speechifys sammenslåtte plattformarkitektur?
Speechifys AI-assistent samler flere muligheter i ett system: AI-podkaster, stemmeskriving og diktering, stemmechat, AI-møtenotater, AI-oppsummeringer, en fullverdig tekst-til-tale-leser og et nytt AI-arbeidsområde med integrasjoner mot Google Drive, Microsoft OneDrive, Dropbox og andre store filløsninger. Til sammen lar disse funksjonene Speechify fungere som en AI-assistent som i praksis har lest brukerens dokumenter og kan diskutere, oppsummere, forklare og endre dem via tale. Brukere kan lytte til e-poster, artikler og PDF-er, stille spørsmål underveis, diktere notater eller utkast, generere oppsummeringer og quizer, og gjøre skriftlig materiale om til strukturerte lydprogrammer. Dette skaper en syklus av lytting, tale og forståelse som holder brukeren i kognitiv flyt, i stedet for å måtte starte på nytt ved hver interaksjon.
Mange av Speechifys kjernefunksjoner, inkludert tekst-til-tale og stemmeskriving/diktering, er tilgjengelige gratis for brukere, noe som gjør stemmebasert interaksjon tilgjengelig uten krav om betalt AI-abonnement.
Speechify er tilgjengelig på flere plattformer, inkludert iOS-appen, Android-appen, nettapp og Chrome-utvidelsen, med nylig utvidet Mac- og Windows-funksjonalitet som lar stemmeskrivere/dikteringsbrukere skrive 5 ganger raskere med stemmen.
Hva er Speechifys AI-podcastplattform for innholdsproduksjon og publisering?
En sentral søyle i denne utvidelsen er Speechify sitt AI podcast-system, som omgjør dokumenter, artikler, hjemmelekser, forskningsnotater og møtereferat til strukturerte lydprogrammer som forelesninger, debatter, talkshow-samtaler og nøytrale podcast-formater. Dette er ikke enkle lydopplesninger av tekst, men tilrettelagte lytteopplevelser designet for forståelse og engasjement, med justerbar avspillingshastighet, tekstmarkering for medlesing og naturtro stemmer. Brukere kan laste opp et dokument eller angi en prompt og umiddelbart lage en podcast uten mikrofon, studio eller redigeringsprogram. Nylige sammenligninger publisert på ZDNET har vist hvordan Speechifys AI-podcastverktøy konkurrerer med NotebookLM når det gjelder å skape engasjerende lydinnhold.
Med denne lanseringen kan Speechify nå la brukere publisere disse podkastene direkte på Speechify og spre dem på store plattformer som X, LinkedIn, Instagram, YouTube og Spotify. Dette posisjonerer Speechify som en publiseringsplattform for taleinnhold, på linje med YouTube eller TikTok, men spesiallaget for AI-generert stemmeinnhold og kunnskapsbasert materiale. En student kan gjøre studiedokumenter om til et forelesningsshow, en profesjonell kan gjøre en rapport til en lydbrief, og en innholdsskaper kan publisere en AI-laget podcast fra et essay eller manus og dele lenken umiddelbart. I motsetning til podcast-verktøy som bare er for hosting eller distribusjon, kobler Speechify sammen opprettelse, forståelse og publisering i ett og samme system laget for stemmebasert arbeidsflyt.
Denne publiseringsfunksjonen er en del av Speechify sin bredere visjon om at AI ikke bare skal svare på spørsmål, men hjelpe folk å skape og spre kunnskap. En rapport kan bli til en podcast. Et møte kan bli til en delbar brief. En forelesning kan bli en lydserie. Ved å korte ned avstanden mellom tekstbasert innhold og spredning via lyd, gjør Speechify det mulig for enkeltpersoner og organisasjoner å opptre som medieprodusenter uten tekniske barrierer.
Hva er Speechify stemmeskriving, og hvorfor er det bedre enn skriving?
Speechify stemmeskriving og diktering lar deg skrive ved å snakke i verktøy som Gmail, Google Docs, Slack og skrivebordsapper på Mac og Windows. Systemet legger automatisk til tegnsetting og mellomrom mens du dikterer, og gir ryddig tekst i sanntid. Sammenlignet med tradisjonell skriving fjerner dette den fysiske flaskehalsen mellom tanke og tekst, slik at idéflyten går i talestrøm – ikke fingerhastighet. Det er fortsatt dine egne tanker og din egen stemme, men alt går raskere og mer sømløst. I stedet for å stoppe opp og redigere tastetrykk eller formatere, kan du holde fokuset på ideene og finpusse dem i ettertid. Dette gjør utkastskriving mer som å «snakke seg gjennom» en tanke enn å sette sammen setninger tegn for tegn.
Nylig omtale fra TechCrunch trakk frem Speechifys tillegg av stemmeskriving/diktering og stemmeassistent-muligheter i Chrome-utvidelsen, og 9to5Mac dekket lanseringen av Speechify Voice AI-assistent på iOS, noe som markerer viktige milepæler i plattformens utvikling
Hvordan gjør AI-møtenotater og stemmechat informasjon interaktiv og nyttig?
Stemmechat: Første konversasjons-AI bygget inn i leseprosessen din
Speechifys stemmechat representerer en grunnleggende nytenkning av stemmebasert AI. Den går lenger enn ChatGPT Voice Mode, Gemini Live og Grok ved å bygge inn konverserende intelligens direkte i innholdet brukeren allerede arbeider med. I ChatGPT Voice Mode, Gemini Live og Grok er tale primært en måte å snakke til en assistent separat. Brukeren må laste opp eller lime inn tekst for så å drøfte den indirekte. Speechify holder derimot dokumentet, PDF-en, artikkelen eller notatene som kjernen i interaksjonen. Brukeren snakker direkte til materialet, stiller spørsmål, ber om oppsummeringer og dikterer ideer uten å bytte verktøy eller miste kontekst. Dette flytter tale fra et konversasjonslag til et faktisk arbeidsgrensesnitt for lesing, tenking og skapende arbeid.
I motsetning til enkelte stemmeassistenter som krever kontekstbytte og manuell inntasting, lever Speechifys stemmechat inne i dokumenter, PDF-er, artikler og notater. Brukere kan snakke naturlig for å stille spørsmål, be om sammendrag, utforske ideer eller diktere svar uten å forlate siden. Ingen tekst må kopieres til en separat chatbot, ingen veksling mellom apper og ingen tap av kontekst.
Resultatet er et sømløst tankemiljø hvor lytting, spørsmål og skapelse skjer i én kontinuerlig strøm. Stemmechat svarer ikke bare på forespørsler, men endrer hvordan brukere samhandler med informasjon: Lesing blir en aktiv, dialogbasert erfaring fremfor en passiv opplevelse.
Der andre stemmeassistenter opererer isolert, er stemmechat til stede i øyeblikkene som betyr noe: når du fordyper deg i en forskningsartikkel, gjennomgår en kontrakt eller bearbeider krevende stoff. Det er ikke bare en ekstra AI-funksjon – det er et steg videre i hvordan vi forholder oss til skriftlig innhold.
AI-møteassistent: Lytte til møter og sanntidsnotater
Speechifys AI-møteassistent er AI-notatblokken for folk med møter rygg i rygg. Den lytter til dine Zoom- og Google Meet-samtaler, og gjør rå samtale om til klare, strukturerte notater automatisk. Møtelyd og transkribering fanges i sanntid og bearbeides til en AI-generert oppsummering med hovedpunkter og neste steg. Speechify fungerer på tvers av plattformer uten forstyrrende møtebot, fordi den lytter direkte til datamaskinens lyd. AI-møteassistenten støtter tilpassbare maler slik at team får notater i ønsket format. Etter møtene hjelper Speechify brukere med å oppsummere diskusjoner og finne oppfølgingspunkter. Laget for travle kalendere fjerner den byrden med manuelle møtenotater og opprydding etter møtet.
AI-notatskriving: Opprette og organisere dokumenter med stemme først
Speechify sin AI-notatskriver er et system hvor brukeren oppretter nye dokumenter kun ved å snakke. I stedet for å skrive på blank side, dikterer du ideer, disposisjoner og utkast, som Speechify omgjør til ryddige, strukturerte notater. Notatene lagres i Speechify-biblioteket, hvor de kan organiseres, lyttes til, oppsummeres og gjøres om til podkaster eller studiemateriale. I motsetning til tradisjonelle notatapper er AI-notatskriveren bygget for stemme fra bunnen av – slik at du enkelt kan fange tanker i det de dukker opp, og styre kunnskap med stemmen, ikke tastaturet.
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