# Cursor vs Tellers

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Tellers records 44,250 monthly visits with -10.9% growth and Paid, Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Tellers](https://openaitools.app/tool/tellers-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://tellers.ai |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Video Editor, Script To Video AI Generator, AI Video Generator |
| Pricing Model | Freemium | Paid, Contact for Pricing |
| Monthly Visits | 23,297,751 | 44,250 |
| MoM Growth Rate | +8.4% | -10.9% |
| Primary Market | United States | United States |
| Direct Visits | 14,683,770 | 7,208 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 29 | 1 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## Tellers

Tellers reframes video editing as a conversation. Instead of assembling clips by hand, you give the system a brief, a script or a folder of footage, and an editing agent breaks the job into steps: detecting cuts and beats, choosing or generating shots, writing captions, sourcing voice-over and music, then rendering the timeline live as it works. The important distinction is that Tellers does not hand you a flattened, locked video — every decision lands on an editable timeline, so a human editor can step in and adjust any cut, transition or audio layer afterwards.

A second pillar is model aggregation. The platform gives your subscription access to a broad set of third-party generative engines for video (Google Veo, OpenAI Sora, Runway, Lightricks LTX, Alibaba Wan, ByteDance Seedance and others), voice and dubbing (ElevenLabs), transcription (OpenAI Whisper), imagery and SVG graphics (GPT Image, Quiver, Pruna), plus music and sound effects. You also get a stock library and AI search across your own media. That means creators stop juggling separate subscriptions and credit balances per model, and instead spend one pool of tokens inside one editor.

Tellers is aimed at creators and studios that produce a lot of short-form and promotional video: talking-head edits, launch films, music videos, lyric videos, motion design, real-estate walkthroughs, interviews and article-to-video conversions. Beyond the web editor there are agents, skills, an MCP integration and a documented API, which makes it usable as a production layer inside a larger pipeline rather than only a browser tool. Plans are tiered by monthly token and storage allowance, and the pricing page pulls live plan details from inside the app.

**Pricing & Plans:** Subscription-based, tiered by monthly token and storage allowances (Basic, Pro and Expert plans, with monthly or yearly billing). The public pricing page loads plan details dynamically from the app, so exact figures should be confirmed on the live pricing page or inside Tellers. A free "Make my video" trial entry point is offered, and the Expert tier allows purchasing extra tokens and storage.

- **Editing agents that plan the whole cut:** Describe the video you want and an agent decomposes the job — cut detection, beat matching, shot selection, captions, audio — then renders a first cut you can keep refining with prompts.
- **Output stays on an editable timeline:** Generated shots, voice, music and captions all land as timeline layers, so nothing is flattened. Editors retain full manual control over every cut and can export an editable project.
- **Many leading AI models under one subscription:** Generate video, images, voice-over, music and sound effects with models such as Google Veo, OpenAI Sora and GPT Image, Runway, Lightricks LTX, Alibaba Wan, ByteDance Seedance and ElevenLabs — paid from a single token pool instead of separate plans.
- **Script, footage and audio in, finished video out:** Start from a written brief, upload raw footage, or bring existing audio such as a podcast or voice take, and let Tellers assemble the visual narrative around it.
- **Agents, skills, MCP and a public API:** Automation surfaces beyond the browser editor let teams wire Tellers into custom pipelines, trigger render jobs programmatically and extend agent behaviour with reusable skills.

**Strengths:** Editing is conversational but never destructive — the timeline stays editable; Access to a large roster of third-party generative models inside one subscription and token pool; Handles the full chain from script or raw footage through captions, voice and music to a rendered cut; Automation surfaces (agents, skills, MCP, API) make it usable in larger production pipelines

**Limitations:** Token- and storage-based plans mean heavy generative use can raise costs, and full plan details live behind the app rather than on a static price page; Output quality still depends on the third-party models chosen for each shot, so results vary between job types; It complements rather than fully replaces a professional NLE for advanced colour, mixing and finishing work

[Profile (Markdown)](https://openaitools.app/tool/tellers-ai.md)

## Frequently Asked Questions

### How do Cursor and Tellers compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Tellers has 44,250. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; Tellers has -10.9%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. Tellers: Paid, Contact for Pricing. Subscription-based, tiered by monthly token and storage allowances (Basic, Pro and Expert plans, with monthly or yearly billing). The public pricing page loads plan details dynamically from the app, so exact figures should be confirmed on the live pricing page or inside Tellers. A free "Make my video" trial entry point is offered, and the Expert tier allows purchasing extra tokens and storage.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [CapCut](https://openaitools.app/tool/capcut-com) | 54,700,686 | +13.2% | Freemium | All-in-one AI video generator, timeline editor, and Seedance 2.5 studio for creators and marketers. | [.md](https://openaitools.app/tool/capcut-com.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Wondershare Filmora](https://openaitools.app/tool/wondershare-filmora) | 11,475,751 | +5.5% | Free Trial, Paid | AI-assisted video editing for beginners and professionals alike | [.md](https://openaitools.app/tool/wondershare-filmora.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 6 | [InVideo](https://openaitools.app/tool/invideo) | 6,893,591 | +4.6% | Freemium | Agentic online video editor with AI agents that cut, grade, and mix on a real timeline | [.md](https://openaitools.app/tool/invideo.md) |
| 7 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 8 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 9 | [Descript](https://openaitools.app/tool/descript) | 3,267,817 | +11.1% | Freemium, Paid | Edit video and podcasts by editing text | [.md](https://openaitools.app/tool/descript.md) |
| 10 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |

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Source: https://openaitools.app/compare/cursor-vs-tellers-ai

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