Ora tra i primi 4 Assistenti AI nell’App Store insieme a ChatGPT, Gemini e Grok, davanti a Claude, Copilot, Perplexity, DeepSeek, Notion e Grammarly.
Speechify ha annunciato oggi una grande espansione della sua piattaforma in un vero e proprio Assistente AI e sistema di produttività pensato per chi preferisce interagire con l’intelligenza artificiale tramite la voce. Nato come lettore di testo in voce, si è evoluto in un ambiente integrato per la lettura, la scrittura, la ricerca, le riunioni, la pubblicazione e l’automazione dei flussi di lavoro, tutto guidato dall’interazione vocale. Questa espansione segna il passaggio dalle origini di Speechify come strumento di lettura ad alta voce a una piattaforma Assistente AI e produttività nativa per la voce, pensata per competere direttamente con i principali assistenti AI e strumenti di produttività utilizzati oggi.
Speechify è ora un top 4 Assistente AI nell’App Store, affiancandosi a ChatGPT, Gemini, Grok e superando Claude, Microsoft Copilot, Perplexity, DeepSeek, Notion e Grammarly. Questo risultato riflette la rapida adozione di Speechify, man mano che sempre più utenti preferiscono l’interazione voce-prima per lavori cognitivi intensivi rispetto ai tradizionali sistemi AI basati sulla chat.
Perché la voce-prima è fondamentale in un mercato AI da oltre 20 miliardi di dollari?
Negli ultimi tre anni, il mercato degli assistenti AI è passato da quasi zero ricavi a un mercato previsto di 20 miliardi di dollari entro il 2030. Gran parte di questa crescita è stata catturata da sistemi costruiti attorno a prompt testuali e risposte in chat brevi. Speechify ha adottato un approccio radicalmente diverso. Invece di ottimizzare per tastiere e chat box, l’azienda si è concentrata sull’interfaccia più rapida e naturale per gli esseri umani: la voce. La piattaforma AI di Speechify permette agli utenti di ascoltare informazioni, esprimere idee a voce, fare domande ad alta voce, dettare bozze e approfondire la comprensione tramite un’interazione continua. Questo rispecchia il modo in cui gli esseri umani elaborano naturalmente linguaggio e pensiero, invece di forzare la cognizione in quesiti scritti brevi. Il risultato è un Assistente AI progettato per lavori prolungati, non per domande isolate.
Come funziona l’architettura di piattaforma unificata di Speechify?
L’espansione dell’Assistente AI di Speechify unifica più funzionalità in un unico sistema: Podcast AI, Dettatura con Digitazione Vocale, Chat Vocale, Note di Riunione AI, Riepiloghi AI, un lettore testo in voce completo e un nuovo Workspace AI con integrazioni a Google Drive, Microsoft OneDrive, Dropbox e altre principali piattaforme di file. Insieme, queste funzioni permettono a Speechify di funzionare come un Assistente AI che ha effettivamente letto i documenti di un utente e può discuterli, riassumerli, spiegarli e trasformarli tramite la voce. Gli utenti possono ascoltare email, articoli e PDF, fare domande su ciò che ascoltano, dettare appunti o bozze, generare riepiloghi e quiz e convertire il materiale scritto in programmi audio strutturati. Si crea così un ciclo di ascolto, dialogo e comprensione che mantiene il flusso cognitivo senza dover ripartire da capo a ogni interazione.
Molte delle funzionalità principali di Speechify, inclusi testo in voce e dettatura tramite digitazione vocale, sono disponibili gratuitamente, rendendo l’interazione voce-prima accessibile senza dover sottoscrivere costosi abbonamenti AI.
Speechify è disponibile su diverse piattaforme tra cui iOS app, app Android, web app e estensione Chrome, con funzionalità Mac e Windows ampliate che consentono agli utenti della dettatura con digitazione vocale di scrivere fino a 5 volte più velocemente usando la voce.
Cos’è la piattaforma Podcast AI di Speechify per la creazione e pubblicazione di contenuti?
Un pilastro centrale di questa espansione è il sistema AI Podcast di Speechify, che trasforma documenti, articoli, compiti scolastici, appunti di ricerca e trascrizioni di riunioni in programmi audio strutturati come lezioni, dibattiti, conversazioni in stile “late-night” e formati podcast neutrali. Non si tratta di semplici conversioni audio di testi, ma di vere esperienze d’ascolto progettate per la comprensione e il coinvolgimento, con velocità di riproduzione regolabile, evidenziazione del testo per la lettura simultanea e voci naturali. Gli utenti possono caricare un documento o inserire un prompt e creare immediatamente un podcast senza microfoni, studi o software di editing. Confronti recenti pubblicati su ZDNET hanno mostrato come lo strumento podcast AI di Speechify tenga testa a NotebookLM nella realizzazione di contenuti audio coinvolgenti.
Con questa versione, Speechify permette ora agli utenti di pubblicare questi podcast direttamente su Speechify e distribuirli sulle principali piattaforme come X, LinkedIn, Instagram, YouTube e Spotify. Questo posiziona Speechify come piattaforma di pubblicazione di contenuti parlati, simile a YouTube o TikTok, ma progettata specificamente per contenuti vocali generati dall’AI e materiali basati sulla conoscenza. Uno studente può trasformare appunti in una lezione, un professionista può convertire un report in un briefing parlato e un creator può pubblicare un podcast AI da un saggio o uno script e condividerne subito il link. Diversamente da altri strumenti podcast che si limitano a ospitare o distribuire l’audio, Speechify connette creazione, comprensione e pubblicazione in un unico sistema pensato per i flussi di lavoro nativi della voce.
Questa capacità di pubblicazione fa parte della visione più ampia di Speechify secondo cui l’AI non dovrebbe solo rispondere alle domande, ma aiutare le persone a creare e diffondere conoscenza. Un report può diventare un podcast. Una riunione può trasformarsi in un briefing condivisibile. Una lezione può diventare una serie audio. Azzerando la distanza tra contenuto scritto e distribuzione parlata, Speechify consente a persone e organizzazioni di operare come veri media producer senza oneri tecnici.
Cos’è la Digitazione Vocale Speechify e perché è meglio della tastiera?
La Dettatura con Digitazione Vocale di Speechify permette di scrivere parlando invece che digitando, su strumenti come Gmail, Google Docs, Slack e applicazioni desktop su Mac e Windows. Mentre si detta, il sistema aggiunge automaticamente punteggiatura e spaziatura, producendo testo pulito in tempo reale. Rispetto alla digitazione tradizionale, si elimina il collo di bottiglia fisico tra pensiero e scrittura, consentendo alle idee di scorrere alla velocità della voce invece che delle dita. La scrittura resta espressione della propria voce e del proprio pensiero, ma è più veloce e continua. Invece di fermarsi a correggere tasti o formattazione, ci si può concentrare sulle idee e rifinirle in un secondo momento. Scrivere diventa più simile al parlare di un problema che al costruire frasi meccanicamente, una lettera alla volta.
Una recente copertura di TechCrunch ha evidenziato l’introduzione in Speechify della digitazione vocale e delle funzionalità di assistente vocale sull’estensione Chrome, e 9to5Mac ha raccontato il lancio del Voice AI Assistant di Speechify su iOS, segnando tappe importanti nell’evoluzione della piattaforma.
Come le Note AI per le riunioni e la Chat Vocale trasformano le informazioni in conoscenza interattiva?
Chat Vocale: la prima AI conversazionale integrata nel flusso di lettura
La Chat Vocale di Speechify rappresenta una riprogettazione radicale dell’AI vocale. Va oltre la Modalità Voce di ChatGPT, Gemini Live e Grok integrando l’intelligenza conversazionale direttamente nel contenuto con cui l’utente sta già interagendo. Nella Modalità Voce di ChatGPT, in Gemini Live e in Grok, la voce è semplicemente un modo per parlare a un assistente, separatamente. Bisogna caricare o incollare un testo e discuterne indirettamente tramite la conversazione. Speechify, invece, mantiene come centro dell’interazione il documento, il PDF, l’articolo o gli appunti. L’utente dialoga direttamente con il materiale, pone domande, chiede riepiloghi e detta idee senza cambiare strumento o perdere il contesto. In questo modo, la voce passa da semplice livello conversazionale a vera interfaccia di lavoro per leggere, riflettere e creare.
A differenza degli assistenti vocali autonomi che richiedono cambi di contesto e input manuali, la Chat Vocale di Speechify vive all’interno di documenti, PDF, articoli e appunti. Gli utenti parlano in modo naturale per porre domande, chiedere riepiloghi, esplorare idee o dettare risposte senza mai lasciare la pagina. Niente più copia e incolla nei chatbot, nessun passaggio da un’app all’altra e nessuna perdita di contesto.
Il risultato è un ambiente fluido in cui ascolto, domande e creazione avvengono in un unico flusso continuo. La Chat Vocale non si limita a rispondere ai quesiti: cambia il modo in cui si interagisce con le informazioni, rendendo la lettura un’esperienza attiva e dialogica, non passiva.
Mentre altri assistenti vocali restano isolati, la Chat Vocale si integra nei momenti importanti: quando ti immergi in un articolo di ricerca, revisioni un contratto o studi materiale complesso. Non è solo un’altra funzione AI: è l’evoluzione del modo in cui ci rapportiamo al testo scritto.
Assistente AI per Riunioni: ascolto in tempo reale e appunti automatici
L’Assistente AI per Riunioni di Speechify è il blocco note AI per chi ha riunioni una dietro l’altra. Ascolta le chiamate su Zoom e Google Meet e trasforma automaticamente le conversazioni in appunti strutturati e chiari. Audio e trascrizione della riunione vengono catturati in tempo reale e raffinati in un riepilogo AI con i punti chiave e i prossimi step. Speechify funziona su ogni piattaforma senza bot invadenti, ascoltando direttamente l’audio del computer. L’Assistente AI offre modelli personalizzabili, così i team ricevono appunti nel formato desiderato. Dopo le riunioni, Speechify aiuta a riassumere le discussioni e identificare le azioni successive. Pensato per calendari affollati, elimina il peso di prendere appunti manualmente e di sistemare tutto a posteriori.
Prendere Appunti AI: creazione e organizzazione di documenti voce-prima
Speechify Note Taker AI è un sistema di presa appunti voce-prima che permette di generare nuovi documenti semplicemente parlando. Invece di scrivere su una pagina bianca, si dettano idee, scalette e bozze che Speechify trasforma in note strutturate e pulite. Vivono nella libreria di Speechify e possono essere organizzate, ascoltate, riassunte e trasformate in podcast o materiali di studio. Diversamente dalle classiche app di appunti, Note Taker AI nasce interamente per la voce, rendendo facile catturare i pensieri appena si formano e gestire la conoscenza tramite la voce anziché la tastiera.
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