leni vs Speech To Markdown: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of leni and Speech To Markdown — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
leni
leni
Purpose-built, secure and accurate AI platform that helps commercial real estate and private equity investors streamline underwriting, reporting, and decisions.
Key features
- Underwriting Automation: Automates core underwriting tasks—financial model population, cashflow projections, and sensitivity analyses—to reduce manual spreadsheet work and speed deal assessment.
- Structured Reporting: Generates standardized, investor-ready reports and summaries to streamline monthly or deal-level reporting and ensure consistent presentation across teams.
- Decision Support & Insights: Produces concise insights and flagged risks to help investment committees evaluate opportunities faster and with repeatable criteria.
- Institutional-Grade Security: Emphasizes secure handling of investor data and models, designed to meet expectations for confidentiality and auditability in CRE and PE workflows.
- Data Ingestion & Normalization: Accepts and normalizes deal documents and financial inputs so models and reports can be produced consistently across heterogeneous data sources.
- Accuracy Controls & Validation: Includes validation steps and consistency checks to improve the reliability of outputs and reduce errors common in manual underwriting.
- Automated underwriting assistance and model analysis
- Investor reporting generation and portfolio analytics
- Decision-support insights for deal screening and selection
- Emphasis on data security and enterprise-grade accuracy
- Workflow integration to streamline investment processes
Best for
- CRE Underwriting: Quickly produce standardized underwriting models and scenario analyses for potential commercial real estate acquisitions to accelerate LOI and diligence decisions.
- Private Equity Deal Screening: Screen target companies with consistent financial summaries and risk indicators to prioritize deeper diligence for high-potential opportunities.
- Portfolio Reporting: Automate monthly or quarterly portfolio performance reports and variance analyses for LP reporting and internal portfolio review.
- Investment Committee Preparation: Generate concise deal briefs and decision memos that summarize key assumptions, sensitivities, and risks for committee review.
- Scenario & Sensitivity Analysis: Run multiple macro or operational scenarios to quantify downside risk and upside potential across deals or portfolio assets.
- Audit & Compliance Trail: Produce auditable output and standardized documentation to support compliance, fund administration, and third-party review processes.
- Underwriting new acquisitions and validating financial models
- Generating standardized investor and portfolio reports
- Screening deal pipelines and prioritizing opportunities
- Due diligence and risk assessment for CRE and PE transactions
- Improving consistency and speed of investment committee preparation
Speech To Markdown
xajik
Free, 100% local macOS menu-bar app that turns speech into structured markdown using whisper.cpp and any local LLM.
Key features
- 100% Local Pipeline: Runs whisper.cpp for speech-to-text and any local LLM server for structuring — no cloud calls and no API keys required.
- Global Dictation Hotkey: Press ⌘⌥] in any app to have the transcript typed straight at your cursor, works in Terminal, browser, Slack, and more.
- Agent Mode Live Structuring: A floating capsule streams your voice through the LLM into a real-time Markdown, plain text, or HTML document.
- One-Line Install: A single curl-piped script installs xcodegen, whisper-cpp, and ffmpeg via Homebrew, then builds the app from source into /Applications.
- iOS Companion: A fully offline iPhone/iPad app that uses Apple Intelligence on iOS 26+ (iPhone 15 Pro and up).
- Multiple Output Formats: Format, edit, or append the LLM output as Markdown, plain text, or HTML from a single control panel.
- Send-Now Flush: The Send (⏎) control flushes the current buffer to the LLM immediately instead of waiting for the pause/word-count threshold.
- Model Picker: Download and swap Whisper models from Settings — Base (~150 MB) is a good starting point.
Best for
- Private Meeting Notes: Dictate meeting recaps on a Mac with sensitive content that must never leave the device.
- Voice-Driven Coding Comments: Speak function docstrings or PR descriptions into your editor at the cursor via Global Dictation.
- Structured Journaling: Use Agent Mode to ramble freely and get a clean, headed Markdown document out in real time.
- Offline Field Notes on iOS: Capture voice notes on an iPhone with no signal, structured into markdown using on-device Apple Intelligence.
- Slack / Email Long-Form: Dictate long replies straight into Slack or Mail without opening a separate transcription tool.