ElevenLabs
ElevenLabs focuses on changing how people interact with technology.
India’s Language Diversity Makes Human-Like Voice AI a Product Challenge
ElevenLabs co-founder and CEO Mati Staniszewski argues that the central challenge for voice AI is not just intelligence but the ability to interact naturally with people. In his keynote at the ElevenLabs Summit in Bengaluru, he points to India’s many languages and dialects as a demanding test of that capability—and a place to develop it. He presents the company’s speech and agent tools as attempts to meet that challenge, while emphasizing that deploying them in industries such as healthcare and government requires work tailored to each setting.
Build an AI Ad Around a Jingle That People Remember
ElevenLabs’ tutorial argues that the jingle should be settled before an AI-made ad’s visuals, because the product, music and edit need to work as one piece. It demonstrates a five-step workflow using a fictional chocolate bar: develop a simple product concept, write and choose a roughly 30-second jingle, create consistent product references, animate storyboard images and cut the clips to the music. The company also presents The Search, a competition that scores catchiness most heavily and offers $100,000 in prizes.
Eleven v4 Turbo Brings ~100-Millisecond Voice Responses to ElevenAgents
ElevenLabs says its v4 Turbo voice model, now available in ElevenAgents, combines a median inference latency of about 100 milliseconds with a wider emotional range and improved reliability on long calls. The company argues that those capabilities can help agents respond to sensitive customer needs with practical next steps, not just sympathetic language, while supporting conversations in more than 90 languages. Its demonstrations show agents offering a service-outage workaround, gathering details about a damaged order and presenting options for a parking citation.
Eleven v4 Adds Inline Direction for More Expressive Speech
ElevenLabs presents v4 as a text-to-speech model that makes delivery part of the prompt: inline tags can direct emotion, pacing, reactions and style, shaping how the words are performed. The company says the model is also designed to preserve speaker identity across long-form narration, dialogue and regenerated lines. For live applications such as agents, ElevenLabs positions v4 Turbo as the low-latency option, with a reported median inference latency of about 100 milliseconds.
GPT Image 2.5 Splits Image Generation Between Speed and Precision
ElevenLabs’ review of OpenAI’s GPT Image 2.5 argues that the release is less a new capability jump than a clearer choice between speed and editing precision. Its Flare variant is positioned for faster, high-volume generation, while Sunburst is intended for reference-image fidelity and localized, multi-round edits; in one 2K test, both were faster than GPT Image 2, though Sunburst took longer than Flare.
Studio 4.0 Keeps AI-Generated Video Editable on the Timeline
ElevenLabs presents Studio 4.0 as an agentic video editor built around an editable project timeline rather than one-off media prompts. The company says users can generate video, images, voiceovers, music and sound effects within the same workspace, then revise shots, captions and audio alongside the rest of the edit. Its Studio Agent can assemble a first draft or handle tasks such as captioning, while leaving editors able to alter the work and hand it back to the agent.
AI-Generated Video Enters the Editable Project Timeline
ElevenLabs is positioning Studio 4.0 as an agentic video-editing workspace where generated video, images, voice, music and sound effects remain editable within the same project. The company argues that users can generate and revise shots by prompt, then work with them on a conventional timeline through frame-level controls, captions, comments and dubbing. Its Studio Agent is presented as a co-editor that can create a first draft or carry out tasks such as captioning, while leaving the editor in control of the project.
Claude Turns Product Links Into Editable AI Ad Workflows
ElevenLabs presents its MCP for Claude as a way to manage AI ad production through chat while retaining access to the underlying ElevenCreative Flows workflow. In a tutorial demonstrated by Alec Wilcock, users can start with a product link, approve stills and voice takes, revise motion or narration, and reformat a finished ad, while Flows exposes the separate image, video, voice and composition steps. The process still depends on user decisions—and on manual product details when a linked page cannot be retrieved.
MiniMax H3 Unifies Video, Image, and Audio References in One Generation
MiniMax argues that video generation’s separate tools for motion, subjects, frames and audio can be consolidated into H3, a model that takes text, image, video and audio references in a single generation. Presented by ElevenLabs in its ElevenCreative platform, H3 produces five- to 15-second clips with generated audio, timecoded multi-shot prompts and a 2K regeneration pass that retains the original instructions and references. H3 Max, built by fal from MiniMax’s published weights, trades that 2K option for a claimed roughly three-second generation time for a five-second 768p clip.
Gemini Omni Flash 1.1 Adds Start-End Frames and Video Extension
ElevenLabs presents Gemini Omni Flash 1.1 as a control-focused update to Google’s conversational video model, adding fixed start and end frames, a separate mode for extending uploaded footage, and lower-cost 360p testing. The company cautions that 1080p and 4K are upscaled exports from native 720p generations, while seamless extensions require users to select the dedicated Extend workflow and explicitly instruct the model to preserve continuity.
Static Ad Localization Requires Copy-Only Edits and Language-Specific QA
ElevenLabs argues that static-ad localization can be automated without rebuilding creative, provided the model is tightly instructed to alter only customer-facing copy and preserve logos, brand names, typography, layout and imagery. Its tutorial shows how to build a reusable flow that creates language-specific versions from a single input ad, then uses an LLM check to flag translation and text-fit errors. For larger paid-media operations, the company positions its Ads Engine as the enterprise option for translating and distributing static and video creative across up to 90 languages.
Four Continuities Make the Fall-Through-Feed Effect Work
ElevenLabs’ tutorial argues that the “fall through the feed” effect is an editing illusion built on four continuities: a consistent subject and falling pose, scenes that begin empty and end with the subject exiting below frame, and identical upward motion for footage and social-media interface. Its workflow uses Nano Banana 2 and GPT Image 2 to establish reference and style frames, Seedance 2.0 to animate the falls, and Premiere Pro to synchronize the posts into a continuous scroll.
ElevenLabs Adds Agent Monitoring and Context-Preserving Voice Tools
ElevenLabs’ monthly changelog argues that its latest releases are less about adding generation models than about making AI voice workflows more controllable in production. The company has introduced Spotlight to identify recurring problems in live agent conversations, Character Casting and consistent vocals to standardize creative choices, and API updates intended to preserve performance in dubbing and structure in real-time transcription.
ElevenLabs Launches Realtime Voice Model With Audio Tags in 70+ Languages
ElevenLabs says its generally available Eleven v3 Conversational model is built for realtime voice applications where delivery is part of the response, not merely a rendering of text. The company pitches audio tags for fine-grained expressive control, consistent streaming quality, and support for more than 70 languages, positioning the model for support agents, assistants and interactive characters that need to convey reassurance, urgency or tension as an exchange unfolds. ElevenLabs offers it through ElevenAgents and its API from $0.05 per 1,000 characters, with lower rates at scale.
AI Workflows Generate Localized Thumbnails From One Master Design
ElevenLabs argues that localizing YouTube thumbnails is a design problem as much as a translation task: foreign-language headlines must fit the original composition without altering logos, faces, backgrounds or visual hierarchy. Its ElevenCreative Flows tutorial shows creators how to generate language-specific versions from one master image, with each language branch verified by an LLM that checks the headline’s translation and meaning. The company presents the resulting template as a repeatable alternative to redesigning each thumbnail manually.
FLUX 3 Launches Multimodal Video Generation With Native Audio
Black Forest Labs presents FLUX 3 as its first video model, trained jointly on images, video and audio to generate up to 20-second clips with dialogue, sound effects and ambience created alongside the frames. The source argues that its Self-Flow training approach improves semantic understanding without a separate vision model, underpinning claimed gains in motion, faces, hands and in-scene text. It positions video continuation and low-cost Draft mode as the most practical workflow features, while noting that the preview release lacks editing and reference support.
Character Reference Sheets Make AI Film Workflows Reusable
ElevenLabs’ Alec Wilcock argues that AI short films should be built around continuity rather than motion: establish the character, visual style and composition in still images before spending credits on video. His *Little Wanderer* workflow uses a reusable character reference sheet, narration-led story beats, and start and end frames to constrain each shot, then assembles and trims the results in Studio. The node-based Flows canvas, he says, makes the project reusable by allowing an upstream character change to regenerate the same film structure with a new protagonist.
ElevenAgents Turns Customer-Service Procedures Into Monitored AI Workflows
ElevenLabs presents ElevenAgents as a platform for turning customer-service procedures into conversational agents that can complete defined tasks, from processing refunds to booking appointments, rather than merely answer questions. The company says teams can define workflows and system access in natural language, simulate them before release, then monitor production conversations through its Spotlight tool for operational problems and test proposed fixes. Configurable guardrails, private-cloud deployment and data-residency options are intended to constrain sensitive actions and support enterprise use.
Seedance 2.5 Extends AI Video Generation to 30 Continuous Seconds
ElevenLabs presents ByteDance’s Seedance 2.5 as an AI video model built to reduce the stitching and full-shot rerolls required in earlier workflows. Compared with Seedance 2.0, it generates continuous 4K clips of up to 30 seconds, accepts 50 reference assets rather than 12, and adds 3D-reference guidance and region-level editing. The company argues that these changes give creators more control over continuity, framing and corrections without having to regenerate an otherwise usable shot.
A Red-Line Guide Turns Aerial Images Into Virtual Drone Flights
ElevenLabs presents a workflow for generating drone-style video from a single AI-made aerial image, using a red line drawn over the image as a virtual camera route. The guide line tells the video model where to move through the scene, while the prompt specifies motion, pacing and visual action; the tutorial positions Gemini Omni Flash as the faster, cheaper option and Seedance 2.0 for longer, higher-resolution shots with native audio.
AI Agents Assemble Documentary Motion Graphics From a Structured Brief
ElevenLabs presents a workflow for producing scrapbook-style documentary videos in which a tested visual prompt, persistent background and repeated reference assets establish continuity before scene generation begins. Claude converts a script and creative direction into a production brief, while ElevenCreative Flows builds the canvas, generates storyboard options and animates selected scenes. The company’s argument is that agent-assisted production can reduce manual setup without removing the creator’s role in supplying assets, choosing variants and revising the edit.
Controlled References Turn One Photo Into Broadcast-Style Football Footage
ElevenLabs’ Alec Wilcock argues that convincing AI football footage depends on production control rather than a single successful video generation. His workflow uses a face image and multi-angle character sheet to hold identity and kit constant, plans keyframes around a three-shot edit before animating them, and fixes visual drift at the image stage. Video, stadium sound and commentary remain separate layers so creators can trim and revise the sequence without rebuilding it.
AI Voice Conversion Preserves Performance While Changing Vocal Identity
ElevenLabs presents its Voice Changer as a way to preserve a recorded performance—its cadence, timing and emphasis—while replacing its vocal identity with a selected voice from its library of more than 10,000 options. The tutorial argues that the strongest results depend less on aggressive settings adjustments than on clean input, default controls and an original performance that already approximates the target character’s pitch and tone.
Seedream 5.0 Pro Adds Sketch-Guided AI Image Editing
ElevenLabs positions Seedream 5.0 Pro as an image-generation model for work that needs revision after the first render, rather than another prompt-only generator. The company says users can direct edits with sketches and annotations, generate text-heavy layouts in 14 languages, and—after launch—separate a composition into transparent, reusable layers. The model is available at 2K resolution, while 4K output and layer separation are not yet available.