5 ways your phone’s Excel app is secretly better than the desktop version


Microsoft Excel still rules on the desktop, but the mobile app (iOS and Android) has quietly developed a few advantages of its own. From scanning tables with your camera to touch-friendly data entry, some Excel tasks are genuinely faster and easier on your phone. Here are five workflows to start using today.

Use the mobile camera to import data

Snap your way to a populated spreadsheet

One of the most tedious aspects of spreadsheet management is the “manual slog”—the process of taking information from the physical world and transcribing it into a digital grid. Whether you’re looking at a printed expense report, an inventory sheet from a warehouse floor, or a table in a textbook, desktop Excel expects you to do the heavy lifting. Unless you have a dedicated scanner and specialized OCR software, you’re usually stuck typing every single value by hand.

The Data from Picture tool in Excel mobile is the perfect antidote to this frustration. To use it, simply open your workbook, tap the Data from Picture icon (usually in the toolbar or Insert menu), and follow the straightforward on-screen steps to turn your hard copy into a digital replica in seconds.

Why it’s better on mobile: While a similar Data from Picture functionality is available in Excel desktop, the workflow there is clunky and disjointed. Excel mobile fundamentally changes that experience by keeping the sensor and the software in the same place, turning a multistep process into a single, seamless interaction that takes less than a minute to complete.

Enter data using the focused Cards View

Edit your rows without horizontal scrolling

Traditional spreadsheets were built for an era of wide-aspect monitors. That design philosophy falls apart when you’re simply trying to update a single record in a massive table. On a desktop, editing a row that stretches across 20 columns requires constant horizontal scrolling. Power users often combat this by using the hidden Form dialog box on desktop to turn a row into a pop-up window, but even that feels like a relic of the Windows 95 era.

Excel mobile’s Cards View takes that concept and perfects it for the modern age. If your data is formatted as an Excel table, tap a row and select the Cards View icon (usually at the bottom of the screen, depending on version). The app instantly transforms the row into a vertical, form-like interface—each column header becomes a clearly labeled field, allowing you to scroll through the data points for a single entry using just your thumb.

Why it’s better on mobile: While the desktop Form tool is excellent for focus, you’re still tethered to a mouse and keyboard. The mobile Cards View provides the same focused data entry in a package that’s far more intuitive, easier to trigger, modern, and optimized for high-speed updates on the move.

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Use voice dictation for quick spreadsheet updates

Stop typing every small edit manually

On desktop Excel, entering small updates still assumes a keyboard-first workflow. Even with dictation available, it typically requires switching tools or modes, which interrupts the data-entry flow.

Excel mobile builds voice input directly into the cell-editing experience. To use it, open the Excel app, double-tap a cell to bring up the on-screen keyboard, then tap the microphone icon (usually on the keyboard). Speak your entry, and it appears instantly in the cell. You can then tap Enter and continue speaking into the next cell without reactivating the microphone each time.

If you can’t see the microphone icon on your keyboard, ensure dictation is enabled in your phone’s settings.

A cell is activated in the Excel mobile app, and the microphone icon in the keyboard section is highlighted.

One advantage is friction. On mobile, it’s a single continuous gesture: tap a cell, tap the mic, and start speaking. On desktop, voice input feels like a separate feature layered on top of a keyboard-driven workflow, making it less natural for quick, repeated updates.

It’s also better aligned with real-world use. Mobile dictation works well when you’re standing, moving through data on-site, or capturing quick updates away from a desk—situations where stopping to type is inconvenient. Desktop workflows assume you’re seated and already set up for typing. Where mobile stands out is in short, repetitive entries, such as status updates or field notes. You stay inside the cell, speak the value, and move on without breaking rhythm.

Why it’s better on mobile: Voice dictation is built into the cell-editing flow, enabling fast, continuous entry without mode switching or repeated activation between updates.

Get all the symbols you need with the dedicated Excel keyboard

Reduce friction when entering numbers and formulas

Working with formulas and structured data often means repeatedly typing symbols like parentheses, colons, dollar signs, and commas. On desktop, these are available, but they’re dotted across a standard keyboard layout that prioritizes general typing over spreadsheet-specific input.

Excel mobile reduces that friction via its dedicated data entry keyboard. Simply double-tap a cell to activate it, then tap the 123 keyboard symbol at the bottom of your screen to see an adapted layout—it’s similar to a 10-key keyboard but contains many of the symbols you’ll need, condensed into one place.

This is especially useful during fast data entry or when editing formulas on the move, where every extra keystroke adds up. Instead of breaking your flow to hunt for symbols, you stay focused on the cell and continue entering data continuously.

Why it’s better on mobile: A dedicated symbol keyboard reduces keystrokes during data and formula entry, making structured input faster and more fluid than standard desktop keyboard layouts.

Enter dates instantly with the built-in date picker

Stop typing and formatting dates manually

Entering dates in Excel is deceptively error-prone on desktop. You typically type values manually or rely on formatting rules, and while Excel for the web offers a calendar-style picker, the desktop experience often depends on configuration or add-ins to achieve the same level of interaction.

Excel mobile brings this functionality directly into the cell editing flow. Simply double-tap a cell to automatically surface a built-in calendar icon, which you can select to activate a date picker. Then, instead of typing a date in a specific format, you simply scroll and select the correct day. As soon as you select a date, the cell’s number format instantly changes to a date format.

As well as reducing the chance of inconsistent entries across a dataset, this also speeds up data entry when you’re filling out multiple rows. Selecting from a visual calendar is much faster than repeatedly typing dates or correcting formatting issues later.

Why it’s better on mobile: The built-in calendar picker turns date entry into a single tap-and-select action, removing manual formatting and making structured data entry faster than desktop workflows that rely on typing or add-ins.


The Excel mobile mindshift

Yes, desktop Excel is still the more powerful all-around tool, but its mobile counterpart has real advantages in specific workflows where speed and data capture matter more than depth. Despite its reputation, Excel mobile is far more capable than it’s often given credit for. Once you see that, it’s worth taking five minutes to learn how to actually make the Excel mobile app work in practice.



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In short: Accel has raised $5 billion in new capital, comprising a $4 billion Leaders Fund V and a $650 million sidecar, targeting 20-25 late-stage AI investments at an average cheque size of $200 million. The raise follows standout returns from its Anthropic stake (invested at $183B, now valued near $800B) and Cursor (backed at $9.9B, now reportedly around $50B), and lands in a Q1 2026 venture market that deployed a record $297 billion.

Accel, the venture capital firm behind early bets on Facebook, Slack, and more recently Anthropic and Cursor, has raised $5 billion in new capital aimed squarely at AI. The raise, reported by Bloomberg, comprises $4 billion for its fifth Leaders Fund and a $650 million sidecar vehicle, positioning the firm to write average cheques of around $200 million into late-stage AI companies globally.

The fund lands in a venture capital market that has lost any pretence of restraint. Q1 2026 saw $297 billion flow into startups worldwide, 2.5 times the total from Q4 2025 and the most venture funding ever recorded in a three-month period. Andreessen Horowitz has raised $15 billion. Thrive Capital has closed more than $10 billion. Founders Fund is finishing a $6 billion raise. Accel’s $5 billion is substantial but not exceptional in a market where the biggest funds are measured in the tens of billions.

The portfolio that made the pitch

What distinguishes Accel’s fundraise is the portfolio it can point to. The firm invested in Anthropic during its Series G at a $183 billion valuation. Anthropic has since closed a round at $380 billion and is now attracting offers at roughly $800 billion, meaning Accel’s stake has more than quadrupled in value in a matter of months. Anthropic’s annualised revenue has hit $30 billion, a trajectory that no company in history has matched.

The firm’s bet on Cursor has been similarly well-timed. Accel backed the AI code editor in June 2025 at a $9.9 billion valuation. By November, Cursor had raised again at $29.3 billion. By March 2026, the company was reportedly in discussions at a valuation of around $50 billion. For a developer tool that barely existed two years ago, the appreciation is extraordinary.

Accel’s broader AI portfolio extends beyond these two headline positions. The firm has backed Vercel, the frontend deployment platform; n8n, an AI-powered automation tool; Recraft, a professional design platform; and Code Metal, which builds AI development tools for hardware and defence applications. In March 2026, Accel launched an Atoms AI programme in partnership with Google’s AI Futures Fund, selecting five early-stage companies from what it described as a global applicant pool focused on “white space” opportunities in enterprise AI.

The Leaders Fund model

Accel’s Leaders Fund series is designed for later-stage investments, the kind of large cheques that growth-stage AI companies now require. With an average investment size of $200 million and a target of 20 to 25 deals from the new $4 billion fund, the strategy is concentrated: a small number of high-conviction bets on companies that have already demonstrated product-market fit and are scaling revenue.

This is a different game from traditional venture capital. At $200 million per cheque, Accel is competing less with seed and Series A firms and more with the mega-funds, sovereign wealth funds, and corporate investors that have flooded into late-stage AI. The firm’s argument is that its early-stage relationships and technical evaluation capabilities give it an edge in identifying which companies deserve capital at scale, and in securing allocations in rounds that are massively oversubscribed.

Founded in 1983 by Arthur Patterson and Jim Swartz, Accel built its reputation on what the founders called the “prepared mind” approach, a philosophy of deep sector research before investments materialise. The firm’s most famous prepared-mind bet was its 2005 investment of $12.7 million for 10% of Facebook, a stake worth $6.6 billion at the company’s IPO seven years later. The question now is whether Accel’s AI bets will produce returns of comparable magnitude.

What the market is pricing

The sheer volume of capital flowing into AI venture funds reflects a market consensus that artificial intelligence will be the dominant technology platform of the next decade. The numbers are difficult to overstate. OpenAI raised $120 billion in 2026. Anthropic has raised more than $50 billion. xAI closed $20 billion. Waymo secured $16 billion. These are not venture-scale numbers; they are infrastructure-scale capital deployments that would have been unthinkable outside of telecommunications or energy a decade ago.

For limited partners, the investors who commit capital to venture funds, the logic is straightforward: the returns from AI’s winners will be so large that even paying premium valuations will generate exceptional multiples. Accel’s Anthropic position, where a single investment has appreciated several times over in months, is exactly the kind of outcome that makes LPs willing to commit $5 billion to a single firm’s next fund.

The risk is equally visible. Venture capital is a cyclical business, and the current fundraising boom has the characteristics of a cycle peak: record fund sizes, compressed deployment timelines, and a concentration of capital in a single sector. The last time venture capital raised this aggressively, during the 2021 ZIRP era, many of those investments were marked down significantly within two years. AI’s commercial traction is far stronger than the crypto and fintech bets that defined that earlier cycle, but the valuations being paid today leave little margin for error.

The concentration question

Accel’s fund also highlights a structural shift in venture capital. The industry is bifurcating into a small number of mega-firms that can write cheques of $100 million or more and a long tail of smaller funds that compete for earlier-stage deals. The middle ground, the traditional Series B and C investors, is being squeezed by mega-funds moving downstream and by AI companies that skip traditional funding stages entirely, going from seed round to billion-dollar valuations in 18 months.

For a firm like Accel, which operates across offices in Palo Alto, San Francisco, London, and India, the $5 billion raise is a bet that it can maintain its position in the top tier as fund sizes inflate and competition for the best deals intensifies. Its portfolio of 1,199 companies, 107 unicorns, and 46 IPOs provides a track record. But in a market where Anthropic alone could generate returns that justify an entire fund, the temptation to concentrate bets on a handful of AI winners is strong, and the consequences of getting those bets wrong are correspondingly severe.

The broader picture is that AI venture capital has entered a phase where the funds themselves are becoming as large as the companies they once backed. Accel’s $5 billion raise would have made it one of the most valuable startups in Europe just a few years ago. Now it is table stakes for a firm that wants to participate meaningfully in the rounds that matter. Whether this represents rational capital allocation or the peak of a cycle that will eventually correct is the question that every LP writing a cheque today is, implicitly or explicitly, answering in the affirmative.



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