# Dropbox Sign (HelloSign) vs Modal

Dropbox Sign (HelloSign) records 4,339,818 monthly visits with -2.2% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [Dropbox Sign (HelloSign)](https://openaitools.app/tool/hellosign) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://www.hellosign.com | https://modal.com |
| Categories | AI Signature Generator, AI Contract Management, AI API, AI PDF | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 4,339,818 | 1,196,021 |
| MoM Growth Rate | -2.2% | +30.2% |
| Primary Market | United States | United States |
| Direct Visits | 3,038,664 | 845,636 |
| Review Score | 4.3 | 4.8 |
| Saved Count | 10 | 3 |
| Supported Platforms | Website | Website |

## Dropbox Sign (HelloSign)

HelloSign is the former name of Dropbox Sign. After Dropbox acquired the company, the helloSign.com domain now redirects to Dropbox's signing product, and the service continues under the Dropbox Sign brand with the same core purpose: replacing print-sign-scan with a clean digital workflow.

The product covers the full agreement lifecycle. You start with a document from Dropbox or another connected app, add signers, fields and a personalized message, then send it. Recipients review and sign securely with no account required, and completed documents can be saved automatically to your preferred storage. Templates let recurring documents — NDAs, offer letters, sales contracts — be prepared once and reused, while audit trails record who signed and when.

Beyond signing, Dropbox Sign integrates with Dropbox, Google Drive, Salesforce, OneDrive and other everyday tools, and a separate API lets developers build branded, secure signing directly into their own site, app or customer experience. Dropbox Fax, sold alongside it, sends faxes without a fax machine. The platform claims enterprise-grade security and a 4.7/5 rating on G2, and it positions itself on simplicity and speed of adoption rather than heavy configuration.

**Pricing & Plans:** Dropbox Sign starts a 30-day free trial that can be cancelled anytime. eSignature plans start at $15 per user per month billed yearly, while the API is sold separately starting at $75 per 50 requests per month billed yearly. Custom pricing is available through sales for larger organizations.

- **Account-free signing:** Recipients can review and sign agreements securely without creating an account, which removes friction from external signing.
- **Reusable templates:** Prepare NDAs, offer letters and contracts once, then reuse them for future requests to save time on recurring paperwork.
- **Signing API:** Embed secure, branded eSignature flows directly into your website, app or customer experience with a dedicated API.
- **Automatic document storage:** Completed agreements are saved automatically to your preferred storage account so nothing gets lost in inboxes.
- **Electronic fax:** Dropbox Fax sends faxes online, useful for industries still relying on fax for regulated documents.

**Strengths:** Legally binding eSignatures in the US, EU, UK and many other countries; Recipients sign without needing an account; Integrations with Dropbox, Google Drive, Salesforce and OneDrive; Automated audit trails and document storage

**Limitations:** Now branded as Dropbox Sign, which can confuse people looking for HelloSign; The API is priced separately from the core signing plans; Per-user subscription pricing adds up for large organizations

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

## Modal

Modal provides cloud infrastructure aimed squarely at AI and data teams. The core idea is that developers write ordinary Python, decorate functions or define container images, and Modal takes care of the underlying compute: scheduling containers, attaching GPUs, autoscaling from zero and back, and exposing endpoints over HTTPS. Infrastructure concerns like networking, storage, and capacity management are abstracted away, so a workload that runs on a laptop can run the same way across a fleet.

The platform is organised around a few primitives. Functions handle serverless compute and can fan out across thousands of GPUs for parallel or batch work. Sandboxes provide isolated environments for coding agents, reinforcement learning rollouts, and other untrusted code, with sub-second start times and support for very high concurrency. Training covers fine-tuning, reinforcement learning, and evaluation on single or multi-node GPU capacity. On the inference side, Modal offers OpenAI-compatible endpoints for open-weight models and lets teams deploy custom stacks and tune endpoints to match their traffic shape.

Underneath, Modal runs its own container runtime and image system designed for large images and fast GPU scheduling, along with a distributed filesystem for fast access to model weights and datasets. Capacity is drawn from a multi-cloud pool spanning many regions, with automatic routing to available hardware and continuous fleet health checks. Billing is usage-based, charged by the second while code runs, with granular cost controls. The company offers a free starting allowance and scalable paid usage, and markets to enterprises with SOC 2 Type II compliance and HIPAA readiness.

**Pricing & Plans:** Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

- **Serverless Python functions:** Write plain Python, attach GPUs or containers, and deploy HTTPS endpoints that autoscale with traffic and scale to zero when idle.
- **Sandboxes for agents:** Launch isolated, secure environments for coding agents, RL rollouts, and untrusted code, with sub-second starts and support for over a million concurrent sandboxes.
- **Training and fine-tuning on demand:** Run fine-tunes, LoRA, full training, and reinforcement learning on elastic single or multi-node GPU capacity with no quota requests.
- **Model inference and endpoints:** Serve LLMs and image, video, or audio models through OpenAI-compatible endpoints, or bring your own inference stack and let Modal handle the infrastructure.
- **Fast storage and multi-cloud capacity:** A distributed filesystem loads large images and model weights at full bandwidth, while a pool spanning 20+ clouds routes workloads to the right hardware and region.

**Strengths:** Python-native developer experience with almost no infrastructure boilerplate; Scales from zero to thousands of GPUs with per-second, usage-based billing; Sandboxes are well suited to agentic and untrusted-code workloads; Multi-cloud capacity spans many regions with out-of-the-box observability and enterprise compliance

**Limitations:** Billed by real usage, so heavy GPU workloads can get expensive quickly without cost controls; Some advanced inference and enterprise features require working with the team rather than self-serve signup; The serverless model can feel less familiar to teams used to managing their own VMs or Kubernetes clusters

[Profile (Markdown)](https://openaitools.app/tool/modal-com.md)

## Frequently Asked Questions

### How do Dropbox Sign (HelloSign) and Modal compare in monthly traffic?

Dropbox Sign (HelloSign) has 4,339,818 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dropbox Sign (HelloSign) has a month-over-month growth rate of -2.2%; Modal has +30.2%.

### How does pricing compare?

Dropbox Sign (HelloSign): Free Trial, Paid, Contact for Pricing. Dropbox Sign starts a 30-day free trial that can be cancelled anytime. eSignature plans start at $15 per user per month billed yearly, while the API is sold separately starting at $75 per 50 requests per month billed yearly. Custom pricing is available through sales for larger organizations. Modal: Freemium, Contact for Pricing. Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Fillout](https://openaitools.app/tool/fillout-com) | 3,923,917 | -9.7% | Freemium | Focuses on AI-generated forms and data collection with built-in signatures, trading dedicated CLM features for form flexibility. | [.md](https://openaitools.app/tool/fillout-com.md) |
| 2 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Extremely fast serverless execution optimized specifically for generative media models rather than general Python code. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators. | [.md](https://openaitools.app/tool/runpod.md) |
| 4 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Focuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution. | [.md](https://openaitools.app/tool/together-ai.md) |
| 5 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) |
| 6 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach. | [.md](https://openaitools.app/tool/nebius.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |
| 9 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | Provides integrated development studios and training workflows, but with less granular serverless function orchestration. | [.md](https://openaitools.app/tool/lightning-ai.md) |
| 10 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | Combines ready-to-use model APIs and serverless GPU jobs, with simpler API consumption than custom Modal apps. | [.md](https://openaitools.app/tool/novita-ai.md) |

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Source: https://openaitools.app/compare/hellosign-vs-modal-com

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