Nu en af de 4 mest populære AI-assistenter i App Store sammen med ChatGPT, Gemini og Grok – foran Claude, Copilot, Perplexity, DeepSeek, Notion og Grammarly.
Speechify annoncerede i dag en markant udvidelse af sin platform til et fuldt AI-assistent- og produktivitetssystem, målrettet folk der foretrækker at interagere med kunstig intelligens via stemmen. Det, der startede som en tekst-til-tale-læser, er nu blevet et samlet miljø til læsning, skrivning, research, møder, publicering og automatisering af arbejdsprocesser – alt sammen styret af stemmeinteraktion. Denne udvidelse markerer et skift fra Speechify’s opstart som højtlæsningsværktøj til en stemmebaseret AI-assistent og produktivitet-platform skabt til direkte at konkurrere med de dominerende AI-assistenter og produktivitet-værktøjer, der bruges i dag.
Speechify er nu en top 4 AI-assistent i App Store, hvor de ligger på linje med ChatGPT, Gemini og Grok og foran Claude, Microsoft Copilot, Perplexity, DeepSeek, Notion og Grammarly. Denne milepæl afspejler Speechify’s hurtige udbredelse, hvor brugere i stigende grad foretrækker stemmebaseret interaktion til vedvarende vidensarbejde frem for traditionelle chatbaserede AI-systemer.
Hvorfor betyder en stemme-først-tilgang noget på et AI-marked på over 20 milliarder dollars?
I løbet af de sidste tre år er markedet for AI-assistenter vokset fra nærmest ingen omsætning til et forventet marked på 20 milliarder dollars i 2030. Størstedelen af væksten er taget af systemer, der er bygget op om tastede prompts og korte chatbesvarelser. Speechify har valgt en grundlæggende anderledes tilgang. I stedet for at optimere til tastatur og chatbokse har virksomheden fokuseret på den hurtigste og mest naturlige menneskelige grænseflade: stemmen. Speechify’s AI-platform lader brugere lytte til information, sige deres idéer højt, stille spørgsmål, diktere udkast og forfine forståelsen gennem løbende interaktion. Det afspejler, hvordan mennesker naturligt bearbejder sprog og tanker, i stedet for at presse kognition ned i korte, skrevne forespørgsler. Resultatet er en AI-assistent designet til vedvarende arbejde frem for enkeltstående spørgsmål.
Hvordan hænger Speechifys samlede platformarkitektur sammen?
Speechifys AI-assistent-udvidelse samler flere funktioner i ét system: AI-podcasts, stemmetastatur-diktat, stemmechat, AI-mødenoter, AI-resuméer, en komplet tekst-til-tale-læser og et nyt AI-arbejdsrum med integrationer til Google Drive, Microsoft OneDrive, Dropbox og andre store filplatforme. Samlet gør disse funktioner det muligt for Speechify at fungere som en AI-assistent, der faktisk har læst brugerens dokumenter og kan diskutere, opsummere, forklare og omdanne dem via stemmen. Brugere kan lytte til e-mails, artikler og PDF'er, stille spørgsmål til det, de hører, diktere noter eller udkast, generere resuméer og quizzer og forvandle tekst til strukturerede lydprogrammer. Det skaber en cyklus af at lytte, tale og forstå, som holder folk i et kognitivt flow i stedet for at tvinge dem til at starte forfra ved hver interaktion.
Mange af Speechifys kernefunktioner, herunder tekst til tale og stemmetastatur-diktat, er gratis tilgængelige for brugerne, så stemmebaseret interaktion er mulig uden betalte AI-abonnementer.
Speechify fås på flere platforme, herunder iOS-appen, Android-app, webapp og Chrome-udvidelse med nyligt udvidet Mac- og Windows-kompatibilitet, som gør det muligt for brugere af stemmetastatur at skrive 5 gange hurtigere ved hjælp af stemmen.
Hvad er Speechifys AI-podcastplatform til indholdsskabelse og udgivelse?
En central del af denne udvidelse er Speechifys AI Podcast-system, som omdanner dokumenter, artikler, lektier, forskningsnotater og mødereferater til strukturerede lydprogrammer som foredrag, debatter, talkshow-lignende samtaler og neutrale podcast-formater. Det er ikke blot lydversioner af tekst, men tilrettelagte lytteoplevelser designet til forståelse og engagement, med justerbar afspilningshastighed, tekstmarkering til højtlæsning og naturtro stemmer. Brugere kan uploade et dokument eller indsætte en prompt og straks oprette en podcast uden mikrofoner, studie eller redigeringssoftware. Nylige sammenligninger offentliggjort i ZDNET har vist hvordan Speechifys AI-podcastværktøj klarer sig sammenlignet med NotebookLM i arbejdet med at skabe engagerende lydindhold.
Med denne lancering gør Speechify det nu muligt for brugere at udgive disse podcasts direkte på Speechify og distribuere dem på tværs af de store platforme såsom X, LinkedIn, Instagram, YouTube og Spotify. Det placerer Speechify som en talebaseret publiceringsplatform á la YouTube eller TikTok, men bygget specifikt til AI-genereret stemmeindhold og vidensmateriale. En studerende kan forvandle notater til et foredragsprogram, en professionel kan lave en rapport om til et mundtligt brief, og en skaber kan udgive en AI-genereret podcast fra et essay eller manuskript og dele linket med det samme. I modsætning til podcast-værktøjer, der kun hoster eller distribuerer lyd, forbinder Speechify skabelse, forståelse og publicering i ét samlet system, designet til stemmebaserede arbejdsgange.
Denne publiceringsfunktion er en del af Speechifys overordnede vision om, at AI ikke kun bør besvare spørgsmål, men også hjælpe folk med at skabe og dele viden. En rapport kan blive til en podcast. Et møde kan blive til et delbart brief. Et klasseforedrag kan blive til en lydserie. Ved at fjerne kløften mellem skriftligt indhold og talt distribution giver Speechify enkeltpersoner og organisationer mulighed for at agere som medieproducenter uden tekniske barrierer.
Hvad er Speechify stemmetastatur, og hvorfor er det bedre end at skrive på tastatur?
Speechify Stemmetastatur Diktat gør det muligt for folk at skrive ved at tale i stedet for at taste – på tværs af værktøjer som Gmail, Google Docs, Slack og skrivebordsapps på Mac og Windows. Mens du dikterer, tilføjer systemet automatisk tegnsætning og mellemrum, så du får pæn tekst i realtid. Sammenlignet med traditionel skrivning fjerner det den fysiske flaskehals mellem tanke og tekst, så idéer kan flyde med stemmen i stedet for i fingrenes tempo. Teksten forbliver din egen tanke og stemme, men processen bliver hurtigere og mere flydende. Brugere slipper for konstant at rette tastefejl og formatering og kan i stedet holde fokus på at udvikle idéer, som finpudses bagefter. Det får det at skrive udkast til at føles mere som at tale et problem igennem end som mekanisk at sætte ord sammen ét tegn ad gangen.
Seneste omtale fra TechCrunch fremhævede Speechifys tilføjelse af stemmetastatur-diktat og stemmeassistent-funktioner til sin Chrome-udvidelse, og 9to5Mac dækkede lanceringen af Speechify Voice AI-assistent på iOS, hvilket markerer vigtige milepæle i platformens udvikling
Hvordan omdanner AI-mødenoter og stemmechat information til interaktiv viden?
Stemmechat: Den første samtale-AI bygget direkte ind i dit læseflow
Speechifys stemmechat repræsenterer en grundlæggende nytænkning af voice AI. Den rækker videre end ChatGPT Voice Mode, Gemini Live og Grok ved at indlejre samtaleintelligens direkte i det indhold, brugerne allerede arbejder med. I ChatGPT Voice Mode, Gemini Live og Grok er stemmen først og fremmest en måde at tale til en assistent isoleret. Brugere skal uploade eller indsætte tekst og derefter diskutere den indirekte via samtale. Speechify holder derimod dokumentet, PDF'en, artiklen eller noterne i centrum for interaktionen. Brugerne taler direkte til materialet selv, stiller spørgsmål, beder om resuméer og dikterer idéer uden at skifte mellem værktøjer eller miste kontekst. Det flytter stemmen fra et samtalelag til en reel arbejdsoverflade til læsning, tænkning og skabelse.
I modsætning til selvstændige stemmeassistenter, der kræver kontekstskift og manuel indtastning, bor Speechifys stemmechat inde i dokumenter, PDF'er, artikler og noter. Brugere kan tale naturligt og stille spørgsmål, bede om resuméer, udforske idéer eller diktere svar – uden nogensinde at forlade siden. Ingen kopiering af tekst til separate chatbots, ingen skift mellem apps og intet tab af kontekst.
Resultatet er et sømløst tankemiljø, hvor lytning, spørgsmål og skabelse sker i ét uafbrudt flow. Stemmechat nøjes ikke med at svare på forespørgsler – den ændrer måden, brugere interagerer med information på. Læsning bliver en aktiv, samtalebaseret oplevelse frem for en passiv.
Hvor andre stemmeassistenter fungerer isoleret, er stemmechat integreret i de øjeblikke, der betyder noget: når du er fordybet i en forskningsartikel, gennemgår en kontrakt eller arbejder med komplekst materiale. Det er ikke blot endnu en AI-funktion – det er en ny måde at gå til tekst på.
AI-mødeassistent: Live-mødelytning og realtidsnoter
Speechifys AI-mødeassistent er AI-notebogen til folk med det ene møde efter det andet. Den lytter til dine Zoom- og Google Meet-opkald og omdanner rå samtaler til klare, strukturerede noter automatisk. Din mødelud og transskription fanges i realtid og forfines til et AI-genereret resumé med hovedpointer og næste skridt. Speechify virker på tværs af platforme uden påtrængende møderobotter ved at lytte direkte til din computers lyd. AI-mødeassistenten understøtter tilpassede skabeloner, så teams får noter i præcis det format, de har brug for. Efter mødet hjælper Speechify brugere med at opsummere diskussioner og identificere opfølgningspunkter. Bygget til tætpakkede kalendere fjerner den byrden ved manuel notetagning og efterbehandling.
AI-notetagning: Stemmedrevet dokumentoprettelse og organisering
Speechifys AI Note Taker er et stemmebaseret notesystem, hvor brugere kan oprette nye dokumenter blot ved at tale. I stedet for at skrive på en tom side dikterer brugerne idéer, overblik og udkast, som Speechify omdanner til rene, strukturerede noter. Disse noter gemmes i Speechifys bibliotek, hvor de kan organiseres, afspilles, opsummeres og laves om til podcasts eller studiemateriale. I modsætning til traditionelle note-apps er AI Note Taker bygget til stemmen fra bunden og gør det let at fange tanker, når de opstår, og styre viden via stemmen i stedet for 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