# Ollama vs Screenpipe

Ollama records 9,421,973 monthly visits with +4.3% month-over-month growth and Free, Freemium, Paid pricing. Screenpipe records 536 monthly visits with -83.7% growth and Freemium, Paid pricing.

| Metric | [Ollama](https://openaitools.app/tool/ollama) | [Screenpipe](https://openaitools.app/tool/screenpipe) |
| :--- | :--- | :--- |
| Website URL | https://ollama.com | https://screenpi.pe |
| Categories | Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | AI Developer Tools, AI Agent, AI OCR, AI Speech-to-Text |
| Pricing Model | Free, Freemium, Paid | Freemium, Paid |
| Monthly Visits | 9,421,973 | 536 |
| MoM Growth Rate | +4.3% | -83.7% |
| Primary Market | China | United States |
| Direct Visits | 4,020,134 | 209 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | app, open-source, website | Website |

## Ollama

Ollama has become the default way many developers get started with open models. A single install gives you a local server and a command line that pulls model weights, manages versions, and exposes a simple HTTP API on your machine. Because everything runs locally, prompts and responses never leave your computer, which makes it a natural fit for privacy-sensitive prototyping, offline work, and experiments that should not be metered per token.

The project has expanded well beyond a local runtime. Ollama now also serves open models in the cloud, so you can reach larger or more capable checkpoints without owning a high-end GPU. The company reports over nine million monthly installs, more than a billion model downloads, and hundreds of trillions of tokens served, which reflects how widely the tool is embedded in AI developer workflows.

Pricing stays approachable: running models on your own hardware is free and unlimited, while cloud usage is metered per token, with subscription plans for individuals, power users, and teams. Model weights are supplied by the upstream publishers, and Ollama states that prompt and response data are never logged or used for training.

**Pricing & Plans:** Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered.

- **One-command local models:** Install once and pull open-weight models by name; Ollama handles weights, quantization and versioning for you.
- **Local HTTP API and CLI:** A built-in server exposes a straightforward REST API, so scripts, editors and agents can talk to local models with minimal setup.
- **Cloud models for bigger jobs:** Route requests to hosted open models when your laptop cannot hold the checkpoint you need, with per-token pricing and concurrency tiers.
- **Broad model catalog:** Access families such as Llama, Qwen, DeepSeek, Gemma, Mistral and gpt-oss from a single interface.
- **Privacy by default:** Local inference keeps prompts and outputs on your own device, with no logging or training on your data.

**Strengths:** Extremely quick to install and use, with a friendly CLI and API; Local inference means strong privacy and no per-token cost on your own hardware; Wide, actively updated catalog of open-weight models; Cloud option scales to larger models without new hardware

**Limitations:** Local performance depends heavily on your GPU and RAM; Cloud usage is billed per token and large models add up quickly; Advanced serving features are less extensive than dedicated inference servers

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

## Screenpipe

Screenpipe is built on a straightforward idea: your computer already holds a record of your working day, but it disappears the moment it scrolls off screen. By capturing screen activity and audio locally, Screenpipe turns that stream into a searchable memory — one that both you and your AI tools can query. The pitch is that an assistant is far more useful when it actually knows what you have been doing, rather than starting from a blank context each time.

The technical approach is deliberately open. Screenpipe keeps a local database and exposes a REST API and MCP server, so models such as Claude or Codex — or your own agent — can read from it. Because the history is structured, it also becomes a foundation for workflow discovery: reviewing recurring tasks across apps, seeing where exceptions occur, and deciding what is worth documenting or automating.

Privacy is handled with local-first defaults. Raw history stays on your machine, sensitive fields can be redacted on-device, and you can exclude particular apps, windows or URLs. For organisations, Screenpipe offers an enterprise workspace with device management, SSO and audit logs, so a company can adopt it without centralising everyone's raw screen history. It runs on macOS, Windows and Linux and is source-available, with SOC 2 Type 2, HIPAA, GDPR and CCPA commitments listed for enterprise use.

**Pricing & Plans:** Freemium. Screenpipe is free to download for macOS, Windows and Linux with local capture and API access. Paid and enterprise plans add workspace management, policy controls, deployment tooling and audit features; see the official pricing page for current rates.

- **Local screen and audio capture:** Capture screen activity, OCR text and audio locally so everything you saw or heard becomes searchable later.
- **Built-in API and MCP server:** A local database, REST API and MCP server let Claude, Codex or your own agent query your work history directly.
- **Recall and search:** Scrub back through your day to the exact screen, document or conversation you half-remember and pick up where you left off.
- **Workflow discovery:** See recurring work across your apps, review the steps and exceptions, and decide what to document or automate next.
- **Privacy controls:** Exclude apps, windows and URLs, redact sensitive fields on-device and keep raw history local by default.

**Strengths:** Captures screen and audio together for richer context than transcript-only tools; Local-first storage with on-device redaction and app/window exclusion; Open API, MCP server and inspectable local database avoid model lock-in; Workflow discovery surfaces automation opportunities in real work

**Limitations:** Continuous screen capture raises real privacy and compliance questions, even with local-by-default storage; Recording everything consumes CPU, battery and disk, so lighter machines may notice overhead; Getting value depends on connecting an agent and learning the local API/MCP workflow; Enterprise features like MDM, SSO and audit logs sit behind a paid tier

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

## Frequently Asked Questions

### How do Ollama and Screenpipe compare in monthly traffic?

Ollama has 9,421,973 monthly visits, while Screenpipe has 536. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ollama has a month-over-month growth rate of +4.3%; Screenpipe has -83.7%.

### How does pricing compare?

Ollama: Free, Freemium, Paid. Running models on your own hardware is free. Cloud use is pay-as-you-go per million tokens, with Pro around $20/month, Max around $100/month, Team around $500/month including shared usage credits, and custom Enterprise pricing. Yearly billing discounts are offered. Screenpipe: Freemium, Paid. Freemium. Screenpipe is free to download for macOS, Windows and Linux with local capture and API access. Paid and enterprise plans add workspace management, policy controls, deployment tooling and audit features; see the official pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Cloud API gateway providing instant access to thousands of models, trading local hardware privacy for cloud compute. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [Clipto](https://openaitools.app/tool/clipto-com) | 1,857,276 | +10.9% | Free Trial, Paid | Local-first AI memory that makes your videos, audio and documents searchable | [.md](https://openaitools.app/tool/clipto-com.md) |
| 5 | [ScreenApp](https://openaitools.app/tool/screenapp) | 1,690,456 | +8.6% | Freemium | Record, transcribe, and summarize meetings, audio, and video with AI. | [.md](https://openaitools.app/tool/screenapp.md) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Open-source platform for building visual agentic workflows and RAG pipelines using local or cloud models. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted web chat interface designed to manage and query local models like Ollama. | [.md](https://openaitools.app/tool/open-webui.md) |
| 8 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Own your intelligence: a private AI assistant that runs entirely on your machine | [.md](https://openaitools.app/tool/anythingllm.md) |
| 9 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Development framework for connecting local models to external document stores and structured data sources. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 10 | [Heyclicky](https://openaitools.app/tool/heyclicky) | 320,678 | +7.4% | Freemium | An AI buddy on your computer that sees your screen and walks you through anything | [.md](https://openaitools.app/tool/heyclicky.md) |

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Source: https://openaitools.app/compare/ollama-vs-screenpipe

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